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Volumn 6, Issue , 1997, Pages 1-34

Improved heterogeneous distance functions

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EID: 0001899045     PISSN: 10769757     EISSN: None     Source Type: Journal    
DOI: 10.1613/jair.346     Document Type: Article
Times cited : (1028)

References (65)
  • 1
    • 0000217085 scopus 로고
    • Tolerating noisy, irrelevant and novel attributes in instance-based learning algorithms
    • Aha, David W., (1992). Tolerating noisy, irrelevant and novel attributes in instance-based learning algorithms. International Journal of Man-Machine Studies, Vol. 36, pp. 267-287.
    • (1992) International Journal of Man-Machine Studies , vol.36 , pp. 267-287
    • Aha, D.W.1
  • 2
    • 0025725905 scopus 로고
    • Instance-Based Learning Algorithms
    • Aha, David W., Dennis Kibler, and Marc K. Albert, (1991). Instance-Based Learning Algorithms. Machine Learning, Vol. 6, pp. 37-66.
    • (1991) Machine Learning , vol.6 , pp. 37-66
    • Aha, D.W.1    Kibler, D.2    Albert, M.K.3
  • 3
    • 2342560362 scopus 로고
    • Using local models to control movement
    • D. S. Touretzky (Ed.), San Mateo, CA: Morgan Kaufmann
    • Atkeson, Chris, (1989). Using local models to control movement. In D. S. Touretzky (Ed.), Advances in Neural Information Processing Systems 2. San Mateo, CA: Morgan Kaufmann.
    • (1989) Advances in Neural Information Processing Systems 2
    • Atkeson, C.1
  • 7
    • 0000621802 scopus 로고
    • Multi-variable functional interpolation and adaptive networks
    • Broomhead, D. S., and D. Lowe (1988). Multi-variable functional interpolation and adaptive networks. Complex Systems, Vol. 2, pp. 321-355.
    • (1988) Complex Systems , vol.2 , pp. 321-355
    • Broomhead, D.S.1    Lowe, D.2
  • 9
    • 0021776661 scopus 로고
    • A Massively Parallel Architecture for a Self-Organizing Neural Pattern Recognition Machine
    • Carpenter, Gail A., and Stephen Grossberg, (1987). A Massively Parallel Architecture for a Self-Organizing Neural Pattern Recognition Machine. Computer Vision, Graphics, and Image Processing, Vol. 37, pp. 54-115.
    • (1987) Computer Vision, Graphics, and Image Processing , vol.37 , pp. 54-115
    • Carpenter, G.A.1    Grossberg, S.2
  • 10
    • 0016127071 scopus 로고
    • Finding Prototypes for Nearest Neighbor Classifiers
    • Chang, Chin-Liang, (1974). Finding Prototypes for Nearest Neighbor Classifiers. IEEE Transactions on Computers, Vol. 23, No. 11, pp. 1179-1184.
    • (1974) IEEE Transactions on Computers , vol.23 , Issue.11 , pp. 1179-1184
    • Chang, C.-L.1
  • 11
    • 2342656240 scopus 로고
    • Technical Report 11, Murray Hill, NJ: AT&T Bell Laboratories, Statistics Department
    • Cleveland, W. S., and C. Loader, (1994). Computational Methods for Local Regression. Technical Report 11, Murray Hill, NJ: AT&T Bell Laboratories, Statistics Department.
    • (1994) Computational Methods for Local Regression
    • Cleveland, W.S.1    Loader, C.2
  • 12
    • 34250080806 scopus 로고
    • A Weighted Nearest Neighbor Algorithm for Learning with Symbolic Features
    • Cost, Scott, and Steven Salzberg, (1993). A Weighted Nearest Neighbor Algorithm for Learning with Symbolic Features. Machine Learning, Vol. 10, pp. 57-78.
    • (1993) Machine Learning , vol.10 , pp. 57-78
    • Cost, S.1    Salzberg, S.2
  • 16
  • 18
    • 0016939390 scopus 로고
    • The Distance-Weighted k-Nearest-Neighbor Rule
    • April 1976
    • Dudani, Sahibsingh A., (1976). The Distance-Weighted k-Nearest-Neighbor Rule. IEEE Transactions on Systems, Man and Cybernetics, Vol. 6, No. 4, April 1976, pp. 325-327.
    • (1976) IEEE Transactions on Systems, Man and Cybernetics , vol.6 , Issue.4 , pp. 325-327
    • Dudani, S.A.1
  • 19
    • 0015346497 scopus 로고
    • The Reduced Nearest Neighbor Rule
    • Gates, G. W., (1972). The Reduced Nearest Neighbor Rule. IEEE Transactions on Information Theory, Vol. IT-18, No. 3, pp. 431-433.
    • (1972) IEEE Transactions on Information Theory , vol.IT-18 , Issue.3 , pp. 431-433
    • Gates, G.W.1
  • 20
    • 0342541592 scopus 로고
    • An Efficient Metric for Heterogeneous Inductive Learning Applications in the Attribute-Value Language
    • Giraud-Carrier, Christophe, and Tony Martinez, (1995). An Efficient Metric for Heterogeneous Inductive Learning Applications in the Attribute-Value Language. Intelligent Systems, pp. 341-350.
    • (1995) Intelligent Systems , pp. 341-350
    • Giraud-Carrier, C.1    Martinez, T.2
  • 22
    • 0023515080 scopus 로고
    • Counterpropagation Networks
    • Hecht-Nielsen, R., (1987). Counterpropagation Networks. Applied Optics, Vol. 26, No. 23, pp. 4979-4984.
    • (1987) Applied Optics , vol.26 , Issue.23 , pp. 4979-4984
    • Hecht-Nielsen, R.1
  • 24
    • 0025489075 scopus 로고
    • The Self-Organizing Map
    • Kohonen, Teuvo, (1990). The Self-Organizing Map. In Proceedings of the IEEE, Vol. 78, No. 9, pp. 1464-1480.
    • (1990) Proceedings of the IEEE , vol.78 , Issue.9 , pp. 1464-1480
    • Kohonen, T.1
  • 25
    • 0342541588 scopus 로고
    • Categorizing Numeric Information for Generalization
    • Lebowitz, Michael, (1985). Categorizing Numeric Information for Generalization. Cognitive Science, Vol. 9, pp. 285-308.
    • (1985) Cognitive Science , vol.9 , pp. 285-308
    • Lebowitz, M.1
  • 26
    • 0003408496 scopus 로고    scopus 로고
    • Irvine, CA: University of California Irvine, Department of Information and Computer Science
    • Merz, C. J., and P. M. Murphy, (1996). UCI Repository of Machine Learning Databases. Irvine, CA: University of California Irvine, Department of Information and Computer Science. Internet: http://www.ics.uci.edu/∼mlearn/MLRepository.html.
    • (1996) UCI Repository of Machine Learning Databases
    • Merz, C.J.1    Murphy, P.M.2
  • 27
    • 0002096383 scopus 로고
    • A Recent Advance in Data Analysis: Clustering Objects into Classes Characterized by Conjunctive Concepts
    • Laveen N. Kanal and Azriel Rosenfeld (Eds.). New York: North-Holland
    • Michalski, Ryszard S., Robert E. Stepp, and Edwin Diday, (1981). A Recent Advance in Data Analysis: Clustering Objects into Classes Characterized by Conjunctive Concepts. Progress in Pattern Recognition, Vol. 1, Laveen N. Kanal and Azriel Rosenfeld (Eds.). New York: North-Holland, pp. 33-56.
    • (1981) Progress in Pattern Recognition , vol.1 , pp. 33-56
    • Michalski, R.S.1    Stepp, R.E.2    Diday, E.3
  • 28
    • 0009344837 scopus 로고
    • The Need for Biases in Learning Generalizations
    • J. W. Shavlik & T. G. Dietterich (Eds.), San Mateo, CA: Morgan Kaufmann, 1990
    • Mitchell, Tom M., (1980). The Need for Biases in Learning Generalizations, in J. W. Shavlik & T. G. Dietterich (Eds.), Readings in Machine Learning. San Mateo, CA: Morgan Kaufmann, 1990, pp. 184-191.
    • (1980) Readings in Machine Learning , pp. 184-191
    • Mitchell, T.M.1
  • 29
    • 0009458746 scopus 로고
    • An Optimal Weighting Criterion of Case Indexing for both Numeric and Symbolic Attributes
    • D. W. Aha (Ed.), Technical Report WS-94-01. Menlo Park, CA: AIII Press
    • Mohri, Takao, and Hidehiko Tanaka, (1994). "An Optimal Weighting Criterion of Case Indexing for both Numeric and Symbolic Attributes. In D. W. Aha (Ed.), Case-Based Reasoning: Papers from the 1994 Workshop, Technical Report WS-94-01. Menlo Park, CA: AIII Press, pp. 123-127.
    • (1994) Case-Based Reasoning: Papers from the 1994 Workshop , pp. 123-127
    • Mohri, T.1    Tanaka, H.2
  • 31
    • 0022686961 scopus 로고
    • Attention, Similarity, and the Identification-Categorization Relationship
    • Nosofsky, Robert M., (1986). Attention, Similarity, and the Identification-Categorization Relationship. Journal of Experimental Psychology: General, Vol. 115, No. 1, pp. 39-57.
    • (1986) Journal of Experimental Psychology: General , vol.115 , Issue.1 , pp. 39-57
    • Nosofsky, R.M.1
  • 32
    • 84948494093 scopus 로고
    • A Worst-Case Analysis of Nearest Neighbor Searching by Projection
    • Automata Languages and Programming
    • Papadimitriou, Christos H., and Jon Louis Bentley, (1980). A Worst-Case Analysis of Nearest Neighbor Searching by Projection. Lecture Notes in Computer Science, Vol. 85, Automata Languages and Programming, pp. 470-482.
    • (1980) Lecture Notes in Computer Science , vol.85 , pp. 470-482
    • Papadimitriou, C.H.1    Bentley, J.L.2
  • 33
    • 0001473437 scopus 로고
    • On estimation of a probability density function and mode
    • Parzen, Emanuel, (1962). On estimation of a probability density function and mode. Annals of Mathematical Statistics. Vol. 33, pp. 1065-1076.
    • (1962) Annals of Mathematical Statistics , vol.33 , pp. 1065-1076
    • Parzen, E.1
  • 38
    • 0001529784 scopus 로고
    • Remarks on Some Nonparametric Estimates of a Density Function
    • Rosenblatt, Murray, (1956). Remarks on Some Nonparametric Estimates of a Density Function. Annals of Mathematical Statistics. Vol. 27, pp. 832-835.
    • (1956) Annals of Mathematical Statistics , vol.27 , pp. 832-835
    • Rosenblatt, M.1
  • 40
    • 0026156490 scopus 로고
    • A Nearest Hyperrectangle Learning Method
    • Salzberg, Steven, (1991). A Nearest Hyperrectangle Learning Method. Machine Learning, Vol. 6, pp. 277-309.
    • (1991) Machine Learning , vol.6 , pp. 277-309
    • Salzberg, S.1
  • 41
    • 0000245470 scopus 로고
    • Selecting a Classification Method by Cross-Validation
    • Schaffer, Cullen, (1993). Selecting a Classification Method by Cross-Validation. Machine Learning, Vol. 13, No. 1.
    • (1993) Machine Learning , vol.13 , Issue.1
    • Schaffer, C.1
  • 45
    • 0025796458 scopus 로고
    • Refinements to Nearest-Neighbor Searching in k-Dimensional Trees
    • Sproull, Robert F., (1991). Refinements to Nearest-Neighbor Searching in k-Dimensional Trees. Algorithmica, Vol. 6, pp. 579-589.
    • (1991) Algorithmica , vol.6 , pp. 579-589
    • Sproull, R.F.1
  • 46
    • 0022909661 scopus 로고
    • Toward memory-based reasoning
    • December 1986
    • Stanfill, C., and D. Waltz, (1986). Toward memory-based reasoning. Communications of the ACM, Vol. 29, December 1986, pp. 1213-1228.
    • (1986) Communications of the ACM , vol.29 , pp. 1213-1228
    • Stanfill, C.1    Waltz, D.2
  • 50
    • 0016969272 scopus 로고
    • An Experiment with the Edited Nearest-Neighbor Rule
    • June 1976
    • Tomek, Ivan, (1976). An Experiment with the Edited Nearest-Neighbor Rule. IEEE Transactions on Systems, Man, and Cybernetics, Vol. 6, No. 6, June 1976, pp. 448-452.
    • (1976) IEEE Transactions on Systems, Man, and Cybernetics , vol.6 , Issue.6 , pp. 448-452
    • Tomek, I.1
  • 52
    • 84946559828 scopus 로고
    • Exploiting context when learning to classify
    • Vienna, Austria: Springer-Verlag
    • Turney, Peter, (1993). Exploiting context when learning to classify. In Proceedings of the European Conference on Machine Learning. Vienna, Austria: Springer-Verlag, pp. 402-407.
    • (1993) Proceedings of the European Conference on Machine Learning , pp. 402-407
    • Turney, P.1
  • 53
    • 0010247521 scopus 로고
    • Contextual Normalization Applied to Aircraft Gas Turbine Engine Diagnosis
    • Turney, Peter, and Michael Halasz, (1993). Contextual Normalization Applied to Aircraft Gas Turbine Engine Diagnosis. Journal of Applied Intelligence, Vol. 3, pp. 109-129.
    • (1993) Journal of Applied Intelligence , vol.3 , pp. 109-129
    • Turney, P.1    Halasz, M.2
  • 54
    • 58149411184 scopus 로고
    • Features of Similarity
    • Tversky, Amos, (1977). Features of Similarity. Psychological Review, Vol. 84, No. 4, pp. 327-352.
    • (1977) Psychological Review , vol.84 , Issue.4 , pp. 327-352
    • Tversky, A.1
  • 58
    • 84973608347 scopus 로고
    • Using k-d Trees to Improve the Retrieval Step in Case-Based Reasoning
    • Stefan Wess, Klaus-Dieter Althoff, & M. M. Richter (Eds.), Berlin: Springer-Verlag
    • Wess, Stefan, Klaus-Dieter Althoff and Guido Derwand, (1994). Using k-d Trees to Improve the Retrieval Step in Case-Based Reasoning. Stefan Wess, Klaus-Dieter Althoff, & M. M. Richter (Eds.), Topics in Case-Based Reasoning. Berlin: Springer-Verlag, pp. 167-181.
    • (1994) Topics in Case-Based Reasoning , pp. 167-181
    • Wess, S.1    Althoff, K.-D.2    Derwand, G.3
  • 59
    • 0002564447 scopus 로고
    • An Experimental Comparison of Nearest-Neighbor and Nearest-Hyperrectangle Algorithms
    • Wettschereck, Dietrich, and Thomas G. Dietterich, (1995). An Experimental Comparison of Nearest-Neighbor and Nearest-Hyperrectangle Algorithms. Machine Learning, Vol. 19, No. 1, pp. 5-28.
    • (1995) Machine Learning , vol.19 , Issue.1 , pp. 5-28
    • Wettschereck, D.1    Dietterich, T.G.2
  • 63
    • 0015361129 scopus 로고
    • Asymptotic Properties of Nearest Neighbor Rules Using Edited Data
    • Wilson, Dennis L., (1972). Asymptotic Properties of Nearest Neighbor Rules Using Edited Data. IEEE Transactions on Systems, Man, and Cybernetics, Vol. 2, No. 3, pp. 408-421.
    • (1972) IEEE Transactions on Systems, Man, and Cybernetics , vol.2 , Issue.3 , pp. 408-421
    • Wilson, D.L.1
  • 64
    • 0342541576 scopus 로고
    • Technical Report SFI TR 92-03-5001. Santa Fe, NM: The Santa Fe Institute
    • Wolpert, David H., (1993). On Overfitting Avoidance as Bias. Technical Report SFI TR 92-03-5001. Santa Fe, NM: The Santa Fe Institute.
    • (1993) On Overfitting Avoidance As Bias
    • Wolpert, D.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.