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Volumn 11, Issue 1-5, 1997, Pages 11-73

Locally Weighted Learning

Author keywords

Distance functions; Global tuning; Interference; Lazy learning; Least commitment learning; Local tuning; Locally weighted regression; LOESS; LWR; Memory based learning; Smoothing parameters; Weighting functions

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DATA STORAGE EQUIPMENT; FUNCTIONS; REGRESSION ANALYSIS;

EID: 0031074521     PISSN: 02692821     EISSN: None     Source Type: Journal    
DOI: 10.1007/978-94-017-2053-3_2     Document Type: Article
Times cited : (1368)

References (232)
  • 2
    • 85152621496 scopus 로고
    • Incremental, instance-based learning of independent and graded concept descriptions
    • Morgan Kaufmann, San Mateo, CA
    • Aha, D. W. (1989). Incremental, instance-based learning of independent and graded concept descriptions. In Sixth International Machine Learning Workshop, pp. 387-391. Morgan Kaufmann, San Mateo, CA.
    • (1989) Sixth International Machine Learning Workshop , pp. 387-391
    • Aha, D.W.1
  • 4
    • 85152629807 scopus 로고
    • Incremental constructive induction: An instance-based approach
    • Morgan Kaufmann, San Mateo, CA
    • Aha, D. W. (1991). Incremental constructive induction: An instance-based approach. In Eighth International Machine Learning Workshop, pp. 117-121. Morgan Kaufmann, San Mateo, CA.
    • (1991) Eighth International Machine Learning Workshop , pp. 117-121
    • Aha, D.W.1
  • 5
    • 0008355581 scopus 로고
    • Learning attribute relevance in context in instance-based learning algorithms
    • Lawrence Erlbaum, Cambridge, MA
    • Aha, D. W. & Goldstone, R. L. (1990). Learning attribute relevance in context in instance-based learning algorithms. In 12th Annual Conference of the Cognitive Science Society, pp. 141-148. Lawrence Erlbaum, Cambridge, MA.
    • (1990) 12th Annual Conference of the Cognitive Science Society , pp. 141-148
    • Aha, D.W.1    Goldstone, R.L.2
  • 6
    • 0041150764 scopus 로고
    • Concept learning and flexible weighting
    • Bloomington, IL. Lawrence Erlbaum Associates, Mahwah, NJ
    • Aha, D. W. & Goldstone, R. L. (1992). Concept learning and flexible weighting. In 14th Annual Conference of the Cognitive Science Society, pp. 534-539, Bloomington, IL. Lawrence Erlbaum Associates, Mahwah, NJ.
    • (1992) 14th Annual Conference of the Cognitive Science Society , pp. 534-539
    • Aha, D.W.1    Goldstone, R.L.2
  • 8
    • 2342635663 scopus 로고
    • Learning relative attribute weights for instance-based concept descriptions
    • Lawrence Erlbaum Associates, Mahwah, NJ
    • Aha, D. W. & McNulty, D. M. (1989). Learning relative attribute weights for instance-based concept descriptions. In 11th Annual Conference of the Cognitive Science Society, pp. 530-537. Lawrence Erlbaum Associates, Mahwah, NJ.
    • (1989) 11th Annual Conference of the Cognitive Science Society , pp. 530-537
    • Aha, D.W.1    McNulty, D.M.2
  • 10
    • 0000581356 scopus 로고
    • An introduction to kernel and nearest-neighbor nonparametric regression
    • Altman, N. S. (1992). An introduction to kernel and nearest-neighbor nonparametric regression. The American Statistician 46(3): 175-185.
    • (1992) The American Statistician , vol.46 , Issue.3 , pp. 175-185
    • Altman, N.S.1
  • 11
    • 2342560362 scopus 로고
    • Using local models to control movement
    • Touretzky, D. S., editor, Morgan Kaufman, San Mateo, CA
    • Atkeson, C. G. (1990). Using local models to control movement. In Touretzky, D. S., editor, Advances In Neural Information Processing Systems 2, pp. 316-323. Morgan Kaufman, San Mateo, CA.
    • (1990) Advances in Neural Information Processing Systems 2 , pp. 316-323
    • Atkeson, C.G.1
  • 13
    • 2342516601 scopus 로고    scopus 로고
    • Atkeson, C. G. (1996). Local learning. http://www.cc.gatech.edu/fac/Chris.Atkeson/local-learning/.
    • (1996) Local Learning
    • Atkeson, C.G.1
  • 15
    • 0024176855 scopus 로고
    • Using associative content-addressable memories to control robots
    • Austin, Texas. IEEE Cat. No.88CH2531-2
    • Atkeson, C. G. & Reinkensmeyer, D. J. (1988). Using associative content-addressable memories to control robots. In Proceedings of the 27th IEEE Conference on Decision and Control, volume 1, pp. 792-797, Austin, Texas. IEEE Cat. No.88CH2531-2.
    • (1988) Proceedings of the 27th IEEE Conference on Decision and Control , vol.1 , pp. 792-797
    • Atkeson, C.G.1    Reinkensmeyer, D.J.2
  • 17
    • 0029411915 scopus 로고
    • Memory-based neural networks for robot learning
    • Atkeson, C. G. & Schaal, S. (1995). Memory-based neural networks for robot learning. Neurocomputing 9: 243-269.
    • (1995) Neurocomputing , vol.9 , pp. 243-269
    • Atkeson, C.G.1    Schaal, S.2
  • 18
    • 0003477315 scopus 로고
    • Technical Report WL-TR-93-1147, Wright Laboratory, Wright-Patterson Air Force Base Ohio
    • Baird, L. C. & Klopf, A. H. (1993). Reinforcement learning with high-dimensional, continuous actions. Technical Report WL-TR-93-1147, Wright Laboratory, Wright-Patterson Air Force Base Ohio. http://kirk.usafa.af.mil/~baird/papers/index.html.
    • (1993) Reinforcement Learning with High-dimensional, Continuous Actions
    • Baird, L.C.1    Klopf, A.H.2
  • 19
    • 0000066368 scopus 로고
    • Representation and approximation of surfaces
    • Rice, J. R., editor, Academic Press, New York, NY
    • Barnhill, R. E. (1977). Representation and approximation of surfaces. In Rice, J. R., editor, Mathematical Software III, pp. 69-120. Academic Press, New York, NY.
    • (1977) Mathematical Software III , pp. 69-120
    • Barnhill, R.E.1
  • 22
    • 0016557674 scopus 로고
    • Multidimensional binary search trees used for associative searching
    • Bentley, J. L. (1975). Multidimensional binary search trees used for associative searching. Communications of the ACM 18(9): 509-517.
    • (1975) Communications of the ACM , vol.18 , Issue.9 , pp. 509-517
    • Bentley, J.L.1
  • 23
    • 0018702060 scopus 로고
    • Data structures for range searching
    • Bentley, J. L. & Friedman, J. H. (1979). Data structures for range searching. ACM Comput. Surv. 11(4): 397-409.
    • (1979) ACM Comput. Surv. , vol.11 , Issue.4 , pp. 397-409
    • Bentley, J.L.1    Friedman, J.H.2
  • 25
    • 21344485316 scopus 로고
    • Optimal kernel weights under a power criterion
    • Blyth, S. (1993). Optimal kernel weights under a power criterion. Journal of the American Statistical Association 88(424): 1284-1286.
    • (1993) Journal of the American Statistical Association , vol.88 , Issue.424 , pp. 1284-1286
    • Blyth, S.1
  • 26
    • 0000876414 scopus 로고
    • Local learning algorithms
    • Bottou, L. & Vapnik, V. (1992). Local learning algorithms. Neural Computation 4(6): 888-900.
    • (1992) Neural Computation , vol.4 , Issue.6 , pp. 888-900
    • Bottou, L.1    Vapnik, V.2
  • 29
    • 0025198785 scopus 로고
    • Strategies for efficient incremental nearest neighbor search
    • Broder, A. J. (1990). Strategies for efficient incremental nearest neighbor search. Pattern Recognition 23: 171-178.
    • (1990) Pattern Recognition , vol.23 , pp. 171-178
    • Broder, A.J.1
  • 30
    • 84883732439 scopus 로고
    • CABOT: An adaptive approach to case based search
    • Callan, J. P., Fawcett, T. E. & Rissland, E. L. (1991). CABOT: An adaptive approach to case based search. In IJCAI 12 (1991), pp. 803-808.
    • (1991) IJCAI 12 (1991) , pp. 803-808
    • Callan, J.P.1    Fawcett, T.E.2    Rissland, E.L.3
  • 31
    • 0003447029 scopus 로고
    • Proceedings Volume XII in the Santa Fe Institute Studies in the Sciences of Complexity
    • Addison Wesley, New York, NY
    • Casdagli, M. & Eubank, S. (eds.) (1992). Nonlinear Modeling and Forecasting. Proceedings Volume XII in the Santa Fe Institute Studies in the Sciences of Complexity. Addison Wesley, New York, NY Proceedings of a Workshop on Nonlinear Modeling and Forecasting September 17-21, 1990, Santa Fe, New Mexico.
    • (1992) Nonlinear Modeling and Forecasting
    • Casdagli, M.1    Eubank, S.2
  • 33
    • 0347914857 scopus 로고
    • Strong consistency of nearest neighbor regression function estimators
    • Cheng, P. E. (1984). Strong consistency of nearest neighbor regression function estimators. Journal of Multivariate Analysis 15: 63-72.
    • (1984) Journal of Multivariate Analysis , vol.15 , pp. 63-72
    • Cheng, P.E.1
  • 34
  • 36
    • 0003426528 scopus 로고
    • Hobart Press, Summit, NJ. books@hobart.com.
    • Cleveland, W. S. (1993b). Visualizing Data. Hobart Press, Summit, NJ. books@hobart.com.
    • (1993) Visualizing Data
    • Cleveland, W.S.1
  • 37
    • 84947318637 scopus 로고
    • Locally weighted regression: An approach to regression analysis by local fitting
    • Cleveland, W. S. & Devlin, S. J. (1988). Locally weighted regression: An approach to regression analysis by local fitting. Journal of the American Statistical Association 83: 596-610.
    • (1988) Journal of the American Statistical Association , vol.83 , pp. 596-610
    • Cleveland, W.S.1    Devlin, S.J.2
  • 38
    • 45549110576 scopus 로고
    • Regression by local fitting: Methods, properties, and computational algorithms
    • Cleveland, W. S., Devlin, S. J. & Grosse, E. (1988). Regression by local fitting: Methods, properties, and computational algorithms. Journal of Econometrics 37: 87-114.
    • (1988) Journal of Econometrics , vol.37 , pp. 87-114
    • Cleveland, W.S.1    Devlin, S.J.2    Grosse, E.3
  • 39
    • 33847166455 scopus 로고
    • Computational methods for local regression
    • Cleveland, W. S. & Grosse, E. (1991). Computational methods for local regression. Statistics and Computing 1(1): 47-62. ftp://cm.bell-labs.com/cm/cs/doc/91/4-04.ps.gz.
    • (1991) Statistics and Computing , vol.1 , Issue.1 , pp. 47-62
    • Cleveland, W.S.1    Grosse, E.2
  • 40
    • 85053520810 scopus 로고
    • Local regression models
    • Chambers, J. M. & Hastie, T. J. (eds.), Wadsworth, Pacific Grove, CA
    • Cleveland, W. S., Grosse, E. & Shyu, W. M. (1992). Local regression models. In Chambers, J. M. & Hastie, T. J. (eds.), Statistical Models in S, pp. 309-376. Wadsworth, Pacific Grove, CA. http://netlib.att.com/netlib/a/cloess.ps.Z.
    • (1992) Statistical Models in S , pp. 309-376
    • Cleveland, W.S.1    Grosse, E.2    Shyu, W.M.3
  • 41
    • 2342656240 scopus 로고
    • Technical Report 11, AT&T Bell Laboratories, Statistics Department, Murray Hill, NJ
    • Cleveland, W. S. & Loader, C. (1994a). Computational methods for local regression. Technical Report 11, AT&T Bell Laboratories, Statistics Department, Murray Hill, NJ. http://netlib.att.com/netlib/att/stat/doc/.
    • (1994) Computational Methods for Local Regression
    • Cleveland, W.S.1    Loader, C.2
  • 43
    • 0005732517 scopus 로고
    • Technical Report 95.3, AT&T Bell Laboratories, Statistics Department, Murray Hill, NJ
    • Cleveland, W. S. & Loader, C. (1994c). Smoothing by local regression: Principles and methods. Technical Report 95.3, AT&T Bell Laboratories, Statistics Department, Murray Hill, NJ. http://netlib.att.com/netlib/att/stat/doc/.
    • (1994) Smoothing by Local Regression: Principles and Methods
    • Cleveland, W.S.1    Loader, C.2
  • 45
    • 0008864314 scopus 로고
    • Learning to control a dynamic physical system
    • Seattle, WA. Morgan Kaufmann, San Mateo, CA
    • Connell, M. E. & Utgoff, P. E. (1987). Learning to control a dynamic physical system. In Sixth National Conference on Artificial Intelligence, pp. 456-460, Seattle, WA. Morgan Kaufmann, San Mateo, CA.
    • (1987) Sixth National Conference on Artificial Intelligence , pp. 456-460
    • Connell, M.E.1    Utgoff, P.E.2
  • 46
    • 34250080806 scopus 로고
    • A weighted nearest neighbor algorithm for learning with symbolic features
    • Cost, S. & Salzberg, S. (1993). A weighted nearest neighbor algorithm for learning with symbolic features. Machine Learning 10(1): 57-78.
    • (1993) Machine Learning , vol.10 , Issue.1 , pp. 57-78
    • Cost, S.1    Salzberg, S.2
  • 47
    • 0342911843 scopus 로고
    • Seeing and hearing dynamic loess surfaces
    • Springer-Verlag
    • Coughran, Jr., W. M. & Grosse, E. (1991). Seeing and hearing dynamic loess surfaces. In Interface'91 Proceedings, pp. 224-228. Springer-Verlag. ftp://cm.bell-labs.com/ cm/cs/doc/91/4-07.ps.gz or 4-07long.ps.gz.
    • (1991) Interface'91 Proceedings , pp. 224-228
    • Coughran Jr., W.M.1    Grosse, E.2
  • 49
    • 0005222133 scopus 로고
    • Treatment of nonequispaced two dimensional data with a digital computer
    • Crain, I. K. & Bhattacharyya, B. K. (1967). Treatment of nonequispaced two dimensional data with a digital computer. Geoexploration 5: 173-194.
    • (1967) Geoexploration , vol.5 , pp. 173-194
    • Crain, I.K.1    Bhattacharyya, B.K.2
  • 50
    • 0010128783 scopus 로고
    • Estimation non-paramétrique del la densité par histogrammes généralisés
    • Deheuvels, P. (1977). Estimation non-paramétrique del la densité par histogrammes généralisés. Revue Statistique Appliqué 25: 5-42.
    • (1977) Revue Statistique Appliqué , vol.25 , pp. 5-42
    • Deheuvels, P.1
  • 53
    • 0001244757 scopus 로고
    • On the almost everywhere convergence of nonparametric regression function estimates
    • Devroye, L. (1981). On the almost everywhere convergence of nonparametric regression function estimates. The Annals of Statistics 9(6): 1310-1319.
    • (1981) The Annals of Statistics , vol.9 , Issue.6 , pp. 1310-1319
    • Devroye, L.1
  • 58
    • 0000665083 scopus 로고
    • Nonparametric estimation of a multivariate probability density
    • Epanechnikov, V. A. (1969). Nonparametric estimation of a multivariate probability density. Theory of Probability and Its Applications 14: 153-158.
    • (1969) Theory of Probability and Its Applications , vol.14 , pp. 153-158
    • Epanechnikov, V.A.1
  • 61
  • 62
    • 3042869574 scopus 로고
    • Local linear regression smoothers and their minimax efficiencies
    • Fan, J. (1993). Local linear regression smoothers and their minimax efficiencies. Annals of Statistics 21: 196-216.
    • (1993) Annals of Statistics , vol.21 , pp. 196-216
    • Fan, J.1
  • 64
    • 21144469140 scopus 로고
    • Variable bandwidth and local linear regression smoothers
    • Fan, J. & Gijbels, I. (1992). Variable bandwidth and local linear regression smoothers. The Annals of Statistics 20(4): 2008-2036.
    • (1992) The Annals of Statistics , vol.20 , Issue.4 , pp. 2008-2036
    • Fan, J.1    Gijbels, I.2
  • 65
    • 84950438876 scopus 로고
    • Censored regression: Local linear approximations and their applications
    • Fan, J. & Gijbels, I. (1994). Censored regression: Local linear approximations and their applications. Journal of the American Statistical Association 89: 560-570.
    • (1994) Journal of the American Statistical Association , vol.89 , pp. 560-570
    • Fan, J.1    Gijbels, I.2
  • 66
    • 0038021019 scopus 로고
    • Adaptive order polynomial fitting: Bandwidth robustification and bias reduction
    • Fan, J. & Gijbels, I. (1995a). Adaptive order polynomial fitting: Bandwidth robustification and bias reduction. J. Comp. Graph. Statist. 4: 213-227.
    • (1995) J. Comp. Graph. Statist. , vol.4 , pp. 213-227
    • Fan, J.1    Gijbels, I.2
  • 67
    • 0000887734 scopus 로고
    • Data-driven bandwidth selection in local polynomial fitting: Variable bandwidth and spatial adaptation
    • Fan, J. & Gijbels, I. (1995b). Data-driven bandwidth selection in local polynomial fitting: Variable bandwidth and spatial adaptation. Journal of the Royal Statistical Society B 57: 371-394.
    • (1995) Journal of the Royal Statistical Society B , vol.57 , pp. 371-394
    • Fan, J.1    Gijbels, I.2
  • 69
    • 21844482638 scopus 로고
    • On curve estimation by minimizing mean absolute deviation and its implications
    • Fan, J. & Hall, P. (1994). On curve estimation by minimizing mean absolute deviation and its implications. The Annals of Statistics 22(2): 867-885.
    • (1994) The Annals of Statistics , vol.22 , Issue.2 , pp. 867-885
    • Fan, J.1    Hall, P.2
  • 71
    • 84972498360 scopus 로고
    • Comment on [Hastie and Loader, 1993]
    • Fan, J. & Marron, J. S. (1993). Comment on [Hastie and Loader, 1993]. Statistical Science 8(2): 129-134.
    • (1993) Statistical Science , vol.8 , Issue.2 , pp. 129-134
    • Fan, J.1    Marron, J.S.2
  • 75
    • 0040537338 scopus 로고
    • Exploiting chaos to predict the future and reduce noise
    • Lee, Y. C. (ed.), World Scientific Press, NJ. also available as Technical Report LA-UR-88-901, Los Alamos National Laboratory, Los Alamos, New Mexico
    • Farmer, J. D. & Sidorowich, J. J. (1988a). Exploiting chaos to predict the future and reduce noise. In Lee, Y. C. (ed.), Evolution, Learning, and Cognition, pp. 277-??? World Scientific Press, NJ. also available as Technical Report LA-UR-88-901, Los Alamos National Laboratory, Los Alamos, New Mexico.
    • (1988) Evolution, Learning, and Cognition , pp. 277
    • Farmer, J.D.1    Sidorowich, J.J.2
  • 76
    • 0001929973 scopus 로고
    • Predicting chaotic dynamics
    • Kelso, J. A. S., Mandell, A. J. & Schlesinger, M. F. (eds.), World Scientific, NJ
    • Farmer, J. D. & Sidorowich, J. J. (1988b). Predicting chaotic dynamics. In Kelso, J. A. S., Mandell, A. J. & Schlesinger, M. F. (eds.), Dynamic Patterns in Complex Systems, pp. 265-292. World Scientific, NJ.
    • (1988) Dynamic Patterns in Complex Systems , pp. 265-292
    • Farmer, J.D.1    Sidorowich, J.J.2
  • 77
    • 0008259651 scopus 로고
    • Multivariate interpolation of scattered data by moving least squares methods
    • Mason, J. C. & Cox, M. G. (eds.), Clarendon Press, Oxford
    • Farwig, R. (1987). Multivariate interpolation of scattered data by moving least squares methods. In Mason, J. C. & Cox, M. G. (eds.), Algorithms for Approximation, pp. 193-211. Clarendon Press, Oxford.
    • (1987) Algorithms for Approximation , pp. 193-211
    • Farwig, R.1
  • 80
    • 0003906335 scopus 로고
    • Technical Report LCS 5, Stanford University, Statistics Department, Stanford, CA
    • Friedman, J. H. (1984). A variable span smoother. Technical Report LCS 5, Stanford University, Statistics Department, Stanford, CA.
    • (1984) A Variable Span Smoother
    • Friedman, J.H.1
  • 85
    • 0002684932 scopus 로고
    • Kernel estimation of regression functions
    • Gasser, T. & Rosenblatt, M. (eds.), Lecture Notes in Mathematics, Springer-Verlag, Heidelberg
    • Gasser, T. & Müller, H. G. (1979). Kernel estimation of regression functions. In Gasser, T. & Rosenblatt, M. (eds.), Smoothing Techniques for Curve Estimation, number 757 in Lecture Notes in Mathematics, pp. 23-67. Springer-Verlag, Heidelberg.
    • (1979) Smoothing Techniques for Curve Estimation , vol.757 , pp. 23-67
    • Gasser, T.1    Müller, H.G.2
  • 86
    • 0001257368 scopus 로고
    • Estimating regression functions and their derivatives by the kernel method
    • Gasser, T. & Müller, H. G. (1984). Estimating regression functions and their derivatives by the kernel method. Scandanavian Journal of Statistics 11: 171-185.
    • (1984) Scandanavian Journal of Statistics , vol.11 , pp. 171-185
    • Gasser, T.1    Müller, H.G.2
  • 88
    • 0028406535 scopus 로고
    • Noninvasive spectroscopy for monitoring cell density in a fermentation process
    • Ge, Z., Cavinato, A. G. & Callis, J. B. (1994). Noninvasive spectroscopy for monitoring cell density in a fermentation process. Analytical Chemistry 66: 1354-1362.
    • (1994) Analytical Chemistry , vol.66 , pp. 1354-1362
    • Ge, Z.1    Cavinato, A.G.2    Callis, J.B.3
  • 90
    • 0009453294 scopus 로고
    • Comparison of some neural network and scattered data approximations: The inverse manipulator kinematics example
    • Gorinevsky, D. & Connolly, T. H. (1994). Comparison of some neural network and scattered data approximations: The inverse manipulator kinematics example. Neural Computation 6: 521-542.
    • (1994) Neural Computation , vol.6 , pp. 521-542
    • Gorinevsky, D.1    Connolly, T.H.2
  • 91
    • 0024107409 scopus 로고
    • Image registration by local approximation methods
    • Goshtasby, A. (1988). Image registration by local approximation methods. Image and Vision Computing 6(4): 255-261.
    • (1988) Image and Vision Computing , vol.6 , Issue.4 , pp. 255-261
    • Goshtasby, A.1
  • 92
    • 2342522500 scopus 로고
    • LOESS: Multivariate smoothing by moving least squares
    • Chui, C. K., Schumaker, L. L. & Ward, J. D. (eds.), Academic Press, Boston, MA
    • Grosse, E. (1989). LOESS: Multivariate smoothing by moving least squares. In Chui, C. K., Schumaker, L. L. & Ward, J. D. (eds.), Approximation Theory VI, pp. 1-4. Academic Press, Boston, MA.
    • (1989) Approximation Theory VI , pp. 1-4
    • Grosse, E.1
  • 93
    • 0002538894 scopus 로고
    • Nir analysis of antibiotic fermentations
    • Murray, I. & Cowe, I. A. (eds.), VCH: New York, NY Developed from the 4th International Conference on Near Infrared Spectroscopy, Aberdeen, Scotland, August 19-23, 1991
    • Hammond, S. V. (1991). Nir analysis of antibiotic fermentations. In Murray, I. & Cowe, I. A. (eds.), Making Light Work: Advances in Near Infrared Spectroscopy, pp. 584-589. VCH: New York, NY Developed from the 4th International Conference on Near Infrared Spectroscopy, Aberdeen, Scotland, August 19-23, 1991.
    • (1991) Making Light Work: Advances in Near Infrared Spectroscopy , pp. 584-589
    • Hammond, S.V.1
  • 96
    • 84972525897 scopus 로고
    • Local regression: Automatic kernel carpentry
    • Hastie, T. & Loader, C. (1993). Local regression: Automatic kernel carpentry. Statistical Science 8(2): 120-143.
    • (1993) Statistical Science , vol.8 , Issue.2 , pp. 120-143
    • Hastie, T.1    Loader, C.2
  • 101
    • 2342455604 scopus 로고    scopus 로고
    • MS thesis, University of Toronto, Graduate Department of Computer Science
    • Huang, P. S. (1996). Planning For Dynamic Motions Using A Search Tree. MS thesis, University of Toronto, Graduate Department of Computer Science. http://www.dgp.utoronto.ca/people/psh/home.html.
    • (1996) Planning for Dynamic Motions Using a Search Tree
    • Huang, P.S.1
  • 107
    • 0002714595 scopus 로고
    • Employing linear regression in regression tree leaves
    • Neumann, B. (ed.), Vienna, Austria. John Wiley and Sons
    • Karalič, A. (1992). Employing linear regression in regression tree leaves. In Neumann, B. (ed.), ECAI 92: 10th European Conference on Artificial Intelligence, pp. 440-441, Vienna, Austria. John Wiley and Sons.
    • (1992) ECAI 92: 10th European Conference on Artificial Intelligence , pp. 440-441
    • Karalič, A.1
  • 108
    • 0018514272 scopus 로고
    • Linear and nonlinear methods of nonparametric regression analysis
    • Katkovnik, V. Y. (1979). Linear and nonlinear methods of nonparametric regression analysis. Soviet Automatic Control 5: 25-34.
    • (1979) Soviet Automatic Control , vol.5 , pp. 25-34
    • Katkovnik, V.Y.1
  • 110
    • 0001892558 scopus 로고
    • Instance-based prediction of real-valued attributes
    • Kibler, D., Aha, D. W. & Albert, M. (1989). Instance-based prediction of real-valued attributes. Computational Intelligence 5: 51-57.
    • (1989) Computational Intelligence , vol.5 , pp. 51-57
    • Kibler, D.1    Aha, D.W.2    Albert, M.3
  • 111
    • 0001787256 scopus 로고
    • Challenges of massive parallelism
    • Kitano, H. (1993a). Challenges of massive parallelism. In IJCAI 13 (1993), pp. 813-834.
    • (1993) IJCAI 13 (1993) , pp. 813-834
    • Kitano, H.1
  • 112
    • 0005725435 scopus 로고
    • A comprehensive and practical model of memory-based machine translation
    • Kitano, H. (1993b). A comprehensive and practical model of memory-based machine translation. In IJCAI 13 (1993), pp. 1276-1282.
    • (1993) IJCAI 13 (1993) , pp. 1276-1282
    • Kitano, H.1
  • 113
    • 84946244209 scopus 로고
    • High performance memory-based translation on IXM2 massively parallel associative memory processor
    • Kitano, H. & Higuchi, T. (1991a). High performance memory-based translation on IXM2 massively parallel associative memory processor. In AAAI-9 (1991), pp. 149-154.
    • (1991) AAAI-9 (1991) , pp. 149-154
    • Kitano, H.1    Higuchi, T.2
  • 114
    • 0001866822 scopus 로고
    • Massively parallel memory-based parsing
    • Kitano, H. & Higuchi, T. (1991b). Massively parallel memory-based parsing. In IJCAI 12 (1991), pp. 918-924.
    • (1991) IJCAI 12 (1991) , pp. 918-924
    • Kitano, H.1    Higuchi, T.2
  • 115
    • 84942218795 scopus 로고
    • High performance natural language processing on semantic network array processor
    • Kitano, H., Moldovan, D. & Cha, S. (1991). High performance natural language processing on semantic network array processor. In IJCAI 12 (1991), pp. 911-917.
    • (1991) IJCAI 12 (1991) , pp. 911-917
    • Kitano, H.1    Moldovan, D.2    Cha, S.3
  • 116
    • 0342477586 scopus 로고
    • A new nonparametric estimation method: Local and nonlinear
    • Kozek, A. S. (1992). A new nonparametric estimation method: Local and nonlinear. Interface 24: 389-393.
    • (1992) Interface , vol.24 , pp. 389-393
    • Kozek, A.S.1
  • 117
    • 0000294884 scopus 로고
    • Moving weighted least-squares methods
    • Sahney, B. N. (ed.), D. Reidel Publishing, Boston, MA
    • Lancaster, P. (1979). Moving weighted least-squares methods. In Sahney, B. N. (ed.), Polynomial and Spline Approximation, pp. 103-120. D. Reidel Publishing, Boston, MA.
    • (1979) Polynomial and Spline Approximation , pp. 103-120
    • Lancaster, P.1
  • 118
    • 84966237423 scopus 로고
    • Surfaces generated by moving least squares methods
    • Lancaster, P. & Šalkauskas, K. (1981). Surfaces generated by moving least squares methods. Mathematics of Computation 37(155): 141-158.
    • (1981) Mathematics of Computation , vol.37 , Issue.155 , pp. 141-158
    • Lancaster, P.1    Šalkauskas, K.2
  • 120
    • 0002495649 scopus 로고    scopus 로고
    • Function approximation with neural networks and local methods: Bias, variance and smoothness
    • Canberra, Australia, Canberra, Australia
    • Lawrence, S., Tsoi, A. C. & Black, A. D. (1996). Function approximation with neural networks and local methods: Bias, variance and smoothness. In Australian Conference on Neural Networks, Canberra, Australia, Canberra, Australia. available from http://www.neci.nj.nec.com/homepages/lawrence and http://www.elec.uq.edu.au/ ~lawrence.
    • (1996) Australian Conference on Neural Networks
    • Lawrence, S.1    Tsoi, A.C.2    Black, A.D.3
  • 124
    • 2342639427 scopus 로고
    • Optimization in non-parametric regression
    • Prague. Physica-Verlag Wien
    • Lejeune, M. (1984). Optimization in non-parametric regression. In COMPSTAT 1984: Proceedings in Computational Statistics, pp. 421-426, Prague. Physica-Verlag Wien.
    • (1984) COMPSTAT 1984: Proceedings in Computational Statistics , pp. 421-426
    • Lejeune, M.1
  • 125
    • 0002435105 scopus 로고
    • Estimation non-paramétrique par noyaux: Régression polynômial mobile
    • Lejeune, M. (1985). Estimation non-paramétrique par noyaux: Régression polynômial mobile. Revue de Statistique Appliquée 23(3): 43-67.
    • (1985) Revue de Statistique Appliquée , vol.23 , Issue.3 , pp. 43-67
    • Lejeune, M.1
  • 126
  • 127
    • 0142064173 scopus 로고
    • Consistency for cross-validated nearest neighbor estimates in nonparametric regression
    • Li, K. C. (1984). Consistency for cross-validated nearest neighbor estimates in nonparametric regression. The Annals of Statistics 12: 230-240.
    • (1984) The Annals of Statistics , vol.12 , pp. 230-240
    • Li, K.C.1
  • 128
    • 0039684207 scopus 로고
    • Technical Report 7, AT&T Bell Laboratories, Statistics Department, Murray Hill, NJ. in /netlib/att/stat/doc/94/7.ps
    • Loader, C. (1994). Computing nonparametric function estimates. Technical Report 7, AT&T Bell Laboratories, Statistics Department, Murray Hill, NJ. Available by anonymous FTP from netlib.att.com in /netlib/att/stat/doc/94/7.ps.
    • (1994) Computing Nonparametric Function Estimates
    • Loader, C.1
  • 129
    • 0014825620 scopus 로고
    • A technique for automatic contouring field survey data
    • Lodwick, G. D. & Whittle, J. (1970). A technique for automatic contouring field survey data. Australian Computer Journal 2: 104-109.
    • (1970) Australian Computer Journal , vol.2 , pp. 104-109
    • Lodwick, G.D.1    Whittle, J.2
  • 130
    • 0001920729 scopus 로고
    • Similarity metric learning for a variable-kernel classifier
    • Lowe, D. G. (1995). Similarity metric learning for a variable-kernel classifier. Neural Computation 7: 72-85.
    • (1995) Neural Computation , vol.7 , pp. 72-85
    • Lowe, D.G.1
  • 131
    • 0031069121 scopus 로고    scopus 로고
    • The racing algorithm: Model selection for lazy learners
    • this issue
    • Maron, O. & Moore, A. W. (1997). The racing algorithm: Model selection for lazy learners. Artificial Intelligence Review, this issue.
    • (1997) Artificial Intelligence Review
    • Maron, O.1    Moore, A.W.2
  • 132
    • 0001099130 scopus 로고
    • Automatic smoothing parameter selection: A survey
    • Marron, J. S. (1988). Automatic smoothing parameter selection: A survey. Empirical Economics 13: 187-208.
    • (1988) Empirical Economics , vol.13 , pp. 187-208
    • Marron, J.S.1
  • 134
    • 2342585932 scopus 로고
    • Technical Report Kansas Geological Survey Computer Contributions 23, University of Kansas, Lawrence, KA
    • McIntyre, D. B., Pollard, D. D. & Smith, R. (1968). Computer programs for automatic contouring. Technical Report Kansas Geological Survey Computer Contributions 23, University of Kansas, Lawrence, KA.
    • (1968) Computer Programs for Automatic Contouring
    • McIntyre, D.B.1    Pollard, D.D.2    Smith, R.3
  • 135
    • 0016126720 scopus 로고
    • Drawing contours from arbitrary data points
    • McLain, D. H. (1974). Drawing contours from arbitrary data points. The Computer Journal 17(4): 318-324.
    • (1974) The Computer Journal , vol.17 , Issue.4 , pp. 318-324
    • McLain, D.H.1
  • 136
    • 0023991782 scopus 로고
    • Context and structure in conceptual combination
    • Medin, D. L. & Shoben, E. J. (1988). Context and structure in conceptual combination. Cognitive Psychology 20: 158-190.
    • (1988) Cognitive Psychology , vol.20 , pp. 158-190
    • Medin, D.L.1    Shoben, E.J.2
  • 137
    • 84983920389 scopus 로고
    • Nonparametric estimation of dynamic hedonic price models and the construction of residential housing price indices
    • Meese, R. & Wallace, N. (1991). Nonparametric estimation of dynamic hedonic price models and the construction of residential housing price indices. American Real Estate and Urban Economics Association Journal 19(3): 308-332.
    • (1991) American Real Estate and Urban Economics Association Journal , vol.19 , Issue.3 , pp. 308-332
    • Meese, R.1    Wallace, N.2
  • 138
    • 0000060713 scopus 로고
    • Nonlinear, nonparametric, nonessential exchange rate estimation
    • Meese, R. A. & Rose, A. K. (1990). Nonlinear, nonparametric, nonessential exchange rate estimation. The American Economic Review May: 192-196.
    • (1990) The American Economic Review , vol.MAY , pp. 192-196
    • Meese, R.A.1    Rose, A.K.2
  • 140
    • 0023364624 scopus 로고
    • Application of a general learning algorithm to the control of robotic manipulators
    • Miller, W. T., Glanz, F. H. & Kraft, L. G. (1987). Application of a general learning algorithm to the control of robotic manipulators. International Journal of Robotics Research 6: 84-98.
    • (1987) International Journal of Robotics Research , vol.6 , pp. 84-98
    • Miller, W.T.1    Glanz, F.H.2    Kraft, L.G.3
  • 141
    • 0009458746 scopus 로고
    • An optimal weighting criterion of case indexing for both numeric and symbolic attributes
    • Aha, D. W. (ed.), AAAI Press, Seattle, WA
    • Mohri, T. & Tanaka, H. (1994). An optimal weighting criterion of case indexing for both numeric and symbolic attributes. In Aha, D. W. (ed.), AAAI-94 Workshop Program: Case-Based Reasoning, Working Notes, pp. 123-127. AAAI Press, Seattle, WA.
    • (1994) AAAI-94 Workshop Program: Case-Based Reasoning, Working Notes , pp. 123-127
    • Mohri, T.1    Tanaka, H.2
  • 142
    • 2342469229 scopus 로고
    • Acquisition of Dynamic Control Knowledge for a Robotic Manipulator
    • Morgan Kaufmann, San Mateo, CA
    • Moore, A. W. (1990a). Acquisition of Dynamic Control Knowledge for a Robotic Manipulator. In Seventh International Machine Learning Workshop. Morgan Kaufmann, San Mateo, CA.
    • (1990) Seventh International Machine Learning Workshop
    • Moore, A.W.1
  • 143
    • 0003442587 scopus 로고
    • PhD. Thesis; Technical Report No. 209, Computer Laboratory, University of Cambridge
    • Moore, A. W. (1990b). Efficient Memory-based Learning for Robot Control. PhD. Thesis; Technical Report No. 209, Computer Laboratory, University of Cambridge.
    • (1990) Efficient Memory-based Learning for Robot Control
    • Moore, A.W.1
  • 144
    • 2342512684 scopus 로고
    • An empirical investigation of brute force to choose features, smoothers, and function approximators
    • Hanson, S., Judd, S. & Petsche, T. (eds.), MIT Press, Cambridge, MA
    • Moore, A. W., Hill, D. J. & Johnson, M. P. (1992). An empirical investigation of brute force to choose features, smoothers, and function approximators. In Hanson, S., Judd, S. & Petsche, T. (eds.), Computational Learning Theory and Natural Learning Systems, volume 3. MIT Press, Cambridge, MA.
    • (1992) Computational Learning Theory and Natural Learning Systems , vol.3
    • Moore, A.W.1    Hill, D.J.2    Johnson, M.P.3
  • 145
    • 85016672777 scopus 로고
    • Memory-based stochastic optimization
    • To appear Also available as Technical Report CMU-RI-TR-95-30
    • Moore, A. W. & Schneider, J. (1995). Memory-based stochastic optimization. To appear in the proceedings of NIPS-95, Also available as Technical Report CMU-RI-TR-95-30, ftp://ftp.cs.cmu.edu/afs/cs.cmu.edu/project/reinforcement/papers/memstoch.ps.
    • (1995) Proceedings of NIPS-95
    • Moore, A.W.1    Schneider, J.2
  • 146
    • 0004152689 scopus 로고
    • Technical Report ANL-80-74, Argonne National Laboratory, Argonne, Illinois
    • More, J. J., Garbow, B. S. & Hillstrom, K. E. (1980). User guide for MINPACK-1. Technical Report ANL-80-74, Argonne National Laboratory, Argonne, Illinois.
    • (1980) User Guide for MINPACK-1
    • More, J.J.1    Garbow, B.S.2    Hillstrom, K.E.3
  • 147
    • 0001080408 scopus 로고
    • Weighted local regression and kernel methods for nonparametric curve fitting
    • Müller, H.-G. (1987). Weighted local regression and kernel methods for nonparametric curve fitting. Journal of the American Statistical Association 82: 231-238.
    • (1987) Journal of the American Statistical Association , vol.82 , pp. 231-238
    • Müller, H.-G.1
  • 148
    • 84972495922 scopus 로고
    • Comment on [Hastie and Loader, 1993]
    • Müller, H.-G. (1993). Comment on [Hastie and Loader, 1993]. Statistical Science 8(2): 134-139.
    • (1993) Statistical Science , vol.8 , Issue.2 , pp. 134-139
    • Müller, H.-G.1
  • 149
    • 0023044997 scopus 로고
    • The efficiency of using k-d trees for finding nearest neighbors in discrete space
    • Murphy, O. J. & Selkow, S. M. (1986). The efficiency of using k-d trees for finding nearest neighbors in discrete space. Information Processing Letters 23: 215-218.
    • (1986) Information Processing Letters , vol.23 , pp. 215-218
    • Murphy, O.J.1    Selkow, S.M.2
  • 152
    • 0002026903 scopus 로고
    • Locally weighted regression in diffuse near-infrared transmittance spectroscopy
    • Næs, T. & Isaksson, T. (1992). Locally weighted regression in diffuse near-infrared transmittance spectroscopy. Applied Spectroscopy 46(1): 34-43.
    • (1992) Applied Spectroscopy , vol.46 , Issue.1 , pp. 34-43
    • Næs, T.1    Isaksson, T.2
  • 153
    • 1542383676 scopus 로고
    • Locally weighted regression and scatter correction for near-infrared reflectance data
    • Næs, T., Isaksson, T. & Kowalski, B. R. (1990). Locally weighted regression and scatter correction for near-infrared reflectance data. Analytical Chemistry 62(7): 664-673.
    • (1990) Analytical Chemistry , vol.62 , Issue.7 , pp. 664-673
    • Næs, T.1    Isaksson, T.2    Kowalski, B.R.3
  • 156
    • 0043023536 scopus 로고
    • Efficient Algorithms with Neural Network Behaviour
    • Omohundro, S. M. (1987). Efficient Algorithms with Neural Network Behaviour. Journal of Complex Systems 1(2): 273-347.
    • (1987) Journal of Complex Systems , vol.1 , Issue.2 , pp. 273-347
    • Omohundro, S.M.1
  • 157
    • 0003241739 scopus 로고
    • Bumptrees for Efficient Function, Constraint, and Classification Learning
    • Lippmann, R. P., Moody, J. E. & Touretzky, D. S. (eds.), Morgan Kaufmann
    • Omohundro, S. M. (1991). Bumptrees for Efficient Function, Constraint, and Classification Learning. In Lippmann, R. P., Moody, J. E. & Touretzky, D. S. (eds.), Advances in Neural Information Processing Systems 3. Morgan Kaufmann.
    • (1991) Advances in Neural Information Processing Systems 3
    • Omohundro, S.M.1
  • 159
    • 83455213697 scopus 로고
    • Automatic contouring of irregularly spaced data
    • Pelto, C. R., Elkins, T. A. & Boyd, H. A. (1968). Automatic contouring of irregularly spaced data. Geophysics 33: 424-430.
    • (1968) Geophysics , vol.33 , pp. 424-430
    • Pelto, C.R.1    Elkins, T.A.2    Boyd, H.A.3
  • 164
    • 2142644176 scopus 로고
    • An efficient cross-validation algorithm for window width selection for non-parametric kernel regression
    • Racine, J. (1993). An efficient cross-validation algorithm for window width selection for non-parametric kernel regression. Communications in Statistics: Simulation and Computation 22(4): 1107-1114.
    • (1993) Communications in Statistics: Simulation and Computation , vol.22 , Issue.4 , pp. 1107-1114
    • Racine, J.1
  • 166
    • 0024419596 scopus 로고
    • Selecting the smoothing parameter for estimation of smoothly changing evoked potential signals
    • Raz, J., Turetsky, B. I. & Fein, G. (1989). Selecting the smoothing parameter for estimation of smoothly changing evoked potential signals. Biometrics 45: 851-871.
    • (1989) Biometrics , vol.45 , pp. 851-871
    • Raz, J.1    Turetsky, B.I.2    Fein, G.3
  • 167
    • 0024030615 scopus 로고
    • Multivariate interpolation of large sets of scattered data
    • Renka, R. J. (1988). Multivariate interpolation of large sets of scattered data. ACM Transactions on Mathematical Software 14(2): 139-152.
    • (1988) ACM Transactions on Mathematical Software , vol.14 , Issue.2 , pp. 139-152
    • Renka, R.J.1
  • 168
    • 0041656673 scopus 로고
    • Multivariate locally weighted least squares regression
    • Ruppert, D. & Wand, M. P. (1994). Multivariate locally weighted least squares regression. The Annals of Statistics 22(3): 1346-1370.
    • (1994) The Annals of Statistics , vol.22 , Issue.3 , pp. 1346-1370
    • Ruppert, D.1    Wand, M.P.2
  • 169
    • 2342514643 scopus 로고
    • Technical Report 443, Universität Dortmund, Fachbereich Informatik, D-44221 Dortmund, Germany. Available for anonymous FTP pub/reports/ls7/rr-443.ps.Z
    • Ruprecht, D. & Müller, H. (1992). Image warping with scattered data interpolation methods. Technical Report 443, Universität Dortmund, Fachbereich Informatik, D-44221 Dortmund, Germany. Available for anonymous FTP from ftp-ls7.informatik.uni-dortmund.de in pub/reports/ls7/rr-443.ps.Z.
    • (1992) Image Warping with Scattered Data Interpolation Methods
    • Ruprecht, D.1    Müller, H.2
  • 170
    • 0346789576 scopus 로고
    • Free form deformation with scattered data interpolation methods
    • Farin, G., Hagen, H. & Noltemeier, H. (eds.), Springer Verlag. Available for anonymous FTP pub/reports/iif/rr-41.ps.Z
    • Ruprecht, D. & Müller, H. (1993). Free form deformation with scattered data interpolation methods. In Farin, G., Hagen, H. & Noltemeier, H. (eds.), Geometric Modelling (Computing Suppl. 8), pp. 267-281. Springer Verlag. Available for anonymous FTP from ftp-ls7.informatik.uni-dortmund.de in pub/reports/iif/rr-41.ps.Z.
    • (1993) Geometric Modelling (Computing Suppl. 8) , pp. 267-281
    • Ruprecht, D.1    Müller, H.2
  • 171
    • 0028578375 scopus 로고
    • Deformed cross-dissolves for image interpolation in scientific visualization
    • Available for anonymous FTP pub/reports/ls7/rr-491.ps.Z
    • Ruprecht, D. & Müller, H. (1994a). Deformed cross-dissolves for image interpolation in scientific visualization. The Journal of Visualization and Computer Animation 5(3): 167-181. Available for anonymous FTP from ftp-ls7.informatik.uni-dortmund.de in pub/reports/ls7/rr-491.ps.Z.
    • (1994) The Journal of Visualization and Computer Animation , vol.5 , Issue.3 , pp. 167-181
    • Ruprecht, D.1    Müller, H.2
  • 172
    • 2342560361 scopus 로고
    • Technical Report 517, Universität Dortmund, Fachbereich Informatik, D-44221 Dortmund, Germany. Available for anonymous FTP pub/reports/ls7/rr-517.ps.Z
    • Ruprecht, D. & Müller, H. (1994b). A framework for generalized scattered data interpolation. Technical Report 517, Universität Dortmund, Fachbereich Informatik, D-44221 Dortmund, Germany. Available for anonymous FTP from ftp-ls7.informatik.uni-dortmund.de in pub/reports/ls7/rr-517.ps.Z.
    • (1994) A Framework for Generalized Scattered Data Interpolation
    • Ruprecht, D.1    Müller, H.2
  • 173
    • 2342574059 scopus 로고
    • Technical Report 539, Fachbereich Informatik der Universität Dortmund, 44221 Dortmund, Germany. Accepted for publication by Computers & Graphics, Available for anonymous FTP pub/reports/ls7/rr-539.ps.Z
    • Ruprecht, D., Nagel, R. & Müller, H. (1994). Spatial free form deformation with scattered data interpolation methods. Technical Report 539, Fachbereich Informatik der Universität Dortmund, 44221 Dortmund, Germany. Accepted for publication by Computers & Graphics, Available for anonymous FTP from ftp-ls7.informatik.uni-dortmund.de in pub/reports/ls7/rr-539.ps.Z.
    • (1994) Spatial Free Form Deformation with Scattered Data Interpolation Methods
    • Ruprecht, D.1    Nagel, R.2    Müller, H.3
  • 174
    • 2342518654 scopus 로고
    • Distribution-free methods of approximating nonlinear marketing relationships
    • Rust, R. T. & Bornman, E. O. (1982). Distribution-free methods of approximating nonlinear marketing relationships. Journal of Marketing Research XIX: 372-374.
    • (1982) Journal of Marketing Research , vol.19 , pp. 372-374
    • Rust, R.T.1    Bornman, E.O.2
  • 175
    • 0003791376 scopus 로고
    • Contouring - A review of methods for scattered data
    • Brodlie, K. (ed.), Academic Press, New York, NY
    • Sabin, M. A. (1980). Contouring - a review of methods for scattered data. In Brodlie, K. (ed.), Mathematical Methods in Computer Graphics and Design, pp. 63-86. Academic Press, New York, NY
    • (1980) Mathematical Methods in Computer Graphics and Design , pp. 63-86
    • Sabin, M.A.1
  • 179
    • 84964009081 scopus 로고
    • From isolation to cooperation: An alternative view of a system of experts
    • in press
    • Schaal, S. & Atkeson, C. G. (1995). From isolation to cooperation: An alternative view of a system of experts. NIPS95 proceedings, in press.
    • (1995) NIPS95 Proceedings
    • Schaal, S.1    Atkeson, C.G.2
  • 184
    • 0014432211 scopus 로고
    • A two-dimensional function for irregularly spaced data
    • Shepard, D. (1968). A two-dimensional function for irregularly spaced data. In 23rd ACM National Conference, pp. 517-524.
    • (1968) 23rd ACM National Conference , pp. 517-524
    • Shepard, D.1
  • 185
    • 0001729376 scopus 로고
    • Detecting changes through time in the variance of a long-term hemispheric temperature record: An application of robust locally weighted regression
    • Solow, A. R. (1988). Detecting changes through time in the variance of a long-term hemispheric temperature record: An application of robust locally weighted regression. Journal of Climate 1: 290-296.
    • (1988) Journal of Climate , vol.1 , pp. 290-296
    • Solow, A.R.1
  • 186
  • 187
    • 0025796458 scopus 로고
    • Refinements to nearest-neighbor searching in k-d trees
    • Sproull, R. F. (1991). Refinements to nearest-neighbor searching in k-d trees. Algorithmica 6: 579-589.
    • (1991) Algorithmica , vol.6 , pp. 579-589
    • Sproull, R.F.1
  • 189
    • 0022909661 scopus 로고
    • Toward memory-based reasoning
    • Stanfill, C. & Waltz, D. (1986). Toward memory-based reasoning. Communications of the ACM 29(12): 1213-1228.
    • (1986) Communications of the ACM , vol.29 , Issue.12 , pp. 1213-1228
    • Stanfill, C.1    Waltz, D.2
  • 190
    • 34347131550 scopus 로고
    • Die lernmatrix
    • Steinbuch, K. (1961). Die lernmatrix. Kybernetik 1: 36-45.
    • (1961) Kybernetik , vol.1 , pp. 36-45
    • Steinbuch, K.1
  • 193
    • 0000388992 scopus 로고
    • Consistent nonparametric regression
    • Stone, C. J. (1977). Consistent nonparametric regression. The Annals of Statistics 5: 595-645.
    • (1977) The Annals of Statistics , vol.5 , pp. 595-645
    • Stone, C.J.1
  • 194
    • 0000439528 scopus 로고
    • Optimal rates of convergence for nonparametric estimators
    • Stone, C. J. (1980). Optimal rates of convergence for nonparametric estimators. The Annals of Statistics 8: 1348-1360.
    • (1980) The Annals of Statistics , vol.8 , pp. 1348-1360
    • Stone, C.J.1
  • 195
    • 0000439527 scopus 로고
    • Optimal global rates of convergence for nonparametric regression
    • Stone, C. J. (1982). Optimal global rates of convergence for nonparametric regression. The Annals of Statistics 10(4): 1040-1053.
    • (1982) The Annals of Statistics , vol.10 , Issue.4 , pp. 1040-1053
    • Stone, C.J.1
  • 200
    • 2342651292 scopus 로고
    • A parallel analogue reading machine
    • Taylor, W. K. (1960). A parallel analogue reading machine. Control 3: 95-99.
    • (1960) Control , vol.3 , pp. 95-99
    • Taylor, W.K.1
  • 201
    • 0141660479 scopus 로고
    • Localized versus distributed representations
    • Arbib, M. A. (ed.), The MIT Press, Cambridge, MA
    • Thorpe, S. (1995). Localized versus distributed representations. In Arbib, M. A. (ed.), The Handbook of Brain Theory and Neural Networks, pp. 549-552. The MIT Press, Cambridge, MA.
    • (1995) The Handbook of Brain Theory and Neural Networks , pp. 549-552
    • Thorpe, S.1
  • 202
    • 0041494227 scopus 로고    scopus 로고
    • Is learning the n-th thing any easier than learning the first?
    • Thrun, S. (1996). Is learning the n-th thing any easier than learning the first? In Advances in Neural Information Processing Systems (NIPS) 8. http://www.cs.cmu.edu/afs/cs.cmu.edu/ Web/People/thrun/publications.html.
    • (1996) Advances in Neural Information Processing Systems (NIPS) 8
    • Thrun, S.1
  • 208
    • 0022692335 scopus 로고
    • Robust reconstruction of functions by the local approximation method
    • Tsybakov, A. B. (1986). Robust reconstruction of functions by the local approximation method. Problems of Information Transmission 22: 133-146.
    • (1986) Problems of Information Transmission , vol.22 , pp. 133-146
    • Tsybakov, A.B.1
  • 210
    • 0024840152 scopus 로고
    • Estimation of trial-to-trial variation in evoked potential signals by smoothing across trials
    • Turetsky, B. I., Raz, J. & Fein, G. (1989). Estimation of trial-to-trial variation in evoked potential signals by smoothing across trials. Psychophysiology 26(6): 700-712.
    • (1989) Psychophysiology , vol.26 , Issue.6 , pp. 700-712
    • Turetsky, B.I.1    Raz, J.2    Fein, G.3
  • 213
    • 0040864988 scopus 로고
    • Principles of risk minimization for learning theory
    • Moody, J. E., Hanson, S. J. & Lippmann, R. P. (eds.), Morgan Kaufman, San Mateo, CA
    • Vapnik, V. (1992). Principles of risk minimization for learning theory. In Moody, J. E., Hanson, S. J. & Lippmann, R. P. (eds.), Advances In Neural Information Processing Systems 4, pp. 831-838. Morgan Kaufman, San Mateo, CA.
    • (1992) Advances in Neural Information Processing Systems 4 , pp. 831-838
    • Vapnik, V.1
  • 214
    • 0007487086 scopus 로고
    • Local algorithms for pattern recognition and dependencies estimation
    • Vapnik, V. & Bottou, L. (1993). Local algorithms for pattern recognition and dependencies estimation. Neural Computation 5(6): 893-909.
    • (1993) Neural Computation , vol.5 , Issue.6 , pp. 893-909
    • Vapnik, V.1    Bottou, L.2
  • 215
    • 0020971577 scopus 로고
    • Identification of trends in annual maximum sea levels using robust locally weighted regression
    • Walden, A. T. & Prescott, P. (1983). Identification of trends in annual maximum sea levels using robust locally weighted regression. Estuarine, Coastal and Shelf Science 16: 17-26.
    • (1983) Estuarine, Coastal and Shelf Science , vol.16 , pp. 17-26
    • Walden, A.T.1    Prescott, P.2
  • 217
    • 0023123262 scopus 로고
    • Applications of the Connection Machine
    • Waltz, D. L. (1987). Applications of the Connection Machine. Computer 20(1): 85-97.
    • (1987) Computer , vol.20 , Issue.1 , pp. 85-97
    • Waltz, D.L.1
  • 218
    • 21144474248 scopus 로고
    • Comparison of smoothing parameterizations in bivariate kernel density estimation
    • Wand, M. P. & Jones, M. C. (1993). Comparison of smoothing parameterizations in bivariate kernel density estimation. Journal of the American Statistical Association 88: 520-528.
    • (1993) Journal of the American Statistical Association , vol.88 , pp. 520-528
    • Wand, M.P.1    Jones, M.C.2
  • 220
    • 84988097431 scopus 로고
    • Gaussian-based kernels for curve estimation and window width selection
    • Wand, M. P. & Schucany, W. R. (1990). Gaussian-based kernels for curve estimation and window width selection. Canadian Journal of Statistics 18: 197-204.
    • (1990) Canadian Journal of Statistics , vol.18 , pp. 197-204
    • Wand, M.P.1    Schucany, W.R.2
  • 221
    • 0028299952 scopus 로고
    • New approach for distance measurement in locally weighted regression
    • Wang, Z., Isaksson, T. & Kowalski, B. R. (1994). New approach for distance measurement in locally weighted regression. Analytical Chemistry 66(2): 249-260.
    • (1994) Analytical Chemistry , vol.66 , Issue.2 , pp. 249-260
    • Wang, Z.1    Isaksson, T.2    Kowalski, B.R.3
  • 222
    • 0001762424 scopus 로고
    • Smooth regression analysis. Sankhyā: The Indian
    • Series A
    • Watson, G. S. (1964). Smooth regression analysis. Sankhyā: The Indian Journal of Statistics, Series A, 26: 359-372.
    • (1964) Journal of Statistics , vol.26 , pp. 359-372
    • Watson, G.S.1
  • 224
    • 84973608347 scopus 로고
    • Using k-d trees to improve the retrieval step in case-based reasoning
    • Wess, S., Althoff, K.-D. & Richter, M. M. (eds.), Springer-Verlag, New York, NY. Proceedings of the First European Workshop, EWCBR-93
    • Wess, S., Althoff, K.-D. & Derwand, G. (1994). Using k-d trees to improve the retrieval step in case-based reasoning. In Wess, S., Althoff, K.-D. & Richter, M. M. (eds.), Topics in Case-Based Reasoning, pp. 167-181. Springer-Verlag, New York, NY. Proceedings of the First European Workshop, EWCBR-93.
    • (1994) Topics in Case-Based Reasoning , pp. 167-181
    • Wess, S.1    Althoff, K.-D.2    Derwand, G.3
  • 226
    • 0022198453 scopus 로고
    • Estimation of missing values in lead air quality data sets
    • Johnson, T. R. & Penkala, S. J. (eds.), Air Pollution Control Association, Pittsburgh, PA. TR-3: Transactions: An APCA International Specialty Conference
    • Wijnberg, L. & Johnson, T. (1985). Estimation of missing values in lead air quality data sets. In Johnson, T. R. & Penkala, S. J. (eds.), Quality Assurance in Air Pollution Measurements. Air Pollution Control Association, Pittsburgh, PA. TR-3: Transactions: An APCA International Specialty Conference.
    • (1985) Quality Assurance in Air Pollution Measurements
    • Wijnberg, L.1    Johnson, T.2
  • 227
    • 0004220095 scopus 로고
    • IEEE Computer Society Press, Los Alamitos, CA
    • Wolberg, G. (1990). Digital Image Warping. IEEE Computer Society Press, Los Alamitos, CA.
    • (1990) Digital Image Warping
    • Wolberg, G.1
  • 228
    • 0027565596 scopus 로고
    • Robustness of the memory-based reasoning implemented by wafer scale integration
    • Yasunaga, M. & Kitano, H. (1993). Robustness of the memory-based reasoning implemented by wafer scale integration. IEICE Transactions on Information and Systems E76-D(3): 336-344.
    • (1993) IEICE Transactions on Information and Systems , vol.E76-D , Issue.3 , pp. 336-344
    • Yasunaga, M.1    Kitano, H.2
  • 230
    • 0026371849 scopus 로고
    • New methods of machine learning for the construction of integrated neuromorphic and associative-memory knowledge bases
    • Zajc, B. & Solina, F. (eds.), Ljubljana, Slovenia, Yugoslavia. IEEE catalog number 91CH2964-5
    • Zografski, Z. (1991). New methods of machine learning for the construction of integrated neuromorphic and associative-memory knowledge bases. In Zajc, B. & Solina, F. (eds.), Proceedings, 6th Mediterranean Electrotechnical Conference, volume II, pp. 1150-1153, Ljubljana, Slovenia, Yugoslavia. IEEE catalog number 91CH2964-5.
    • (1991) Proceedings, 6th Mediterranean Electrotechnical Conference , vol.2 , pp. 1150-1153
    • Zografski, Z.1
  • 231
    • 2342487200 scopus 로고
    • Geometric and neuromorphic learning for nonlinear modeling, control and forecasting
    • Glasgow, Scotland. IEEE catalog number 92CH3110-4
    • Zografski, Z. (1992). Geometric and neuromorphic learning for nonlinear modeling, control and forecasting. In Proceedings of the 1992 IEEE International Symposium on Intelligent Control, pp. 158-163, Glasgow, Scotland. IEEE catalog number 92CH3110-4.
    • (1992) Proceedings of the 1992 IEEE International Symposium on Intelligent Control , pp. 158-163
    • Zografski, Z.1


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