-
1
-
-
0034819702
-
Database friendly random projections
-
Santa Barbara, CA, USA, pp
-
Aehlioptas D. (2001). Database friendly random projections, Proceedings of the 20th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, Santa Barbara, CA, USA, pp. 274-281.
-
(2001)
Proceedings of the 20th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems
, pp. 274-281
-
-
Aehlioptas, D.1
-
2
-
-
33748109164
-
Approximate nearest neighbors and the fast Johnson-Lindenstrauss transform
-
Seattle, WA, USA, pp
-
Ailon N. and Chazelle B. (2006). Approximate nearest neighbors and the fast Johnson-Lindenstrauss transform. Proceedings of the 38th Annual ACM Symposium on Theory of Computing, Seattle, WA, USA, pp. 557-563.
-
(2006)
Proceedings of the 38th Annual ACM Symposium on Theory of Computing
, pp. 557-563
-
-
Ailon, N.1
Chazelle, B.2
-
3
-
-
0033354520
-
An algorithmic theory of learning: Robust concepts and random projection
-
New York, NY, USA, pp
-
Arriaga R. and Vempala S. (1999). An algorithmic theory of learning: Robust concepts and random projection, Proceedings of the 40th Annual Symposium on Foundations of Computer Science, New York, NY, USA, pp. 616-623.
-
(1999)
Proceedings of the 40th Annual Symposium on Foundations of Computer Science
, pp. 616-623
-
-
Arriaga, R.1
Vempala, S.2
-
6
-
-
0001245944
-
An alternative method of cross-validation for the smoothing of density estimates
-
Bowman A.W. (1995). An alternative method of cross-validation for the smoothing of density estimates, Biometrika 71(2): 353-360.
-
(1995)
Biometrika
, vol.71
, Issue.2
, pp. 353-360
-
-
Bowman, A.W.1
-
7
-
-
0000621802
-
Multivariable functional interpolation and adaptive networks
-
Broomhead D. and Lowe D. (1988). Multivariable functional interpolation and adaptive networks, Complex Systems 2(11): 321-323.
-
(1988)
Complex Systems
, vol.2
, Issue.11
, pp. 321-323
-
-
Broomhead, D.1
Lowe, D.2
-
9
-
-
0026116468
-
Orthogonal least squares learning algorithm for radial basisfunction networks
-
Chen S., Cowan CRN. and Grant P.M. (1991). Orthogonal least squares learning algorithm for radial basisfunction networks, IEEE Transactions on Neural Networks 2(2): 302-307.
-
(1991)
IEEE Transactions on Neural Networks
, vol.2
, Issue.2
, pp. 302-307
-
-
Chen, S.1
Cowan, C.R.N.2
Grant, P.M.3
-
10
-
-
3442881906
-
Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization
-
Chen S., Hong X. and Harris C.J. (2004). Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization, IEEE Transactions on Systems, Man, and Cybernetics, Part B, 34(4): 1708-1717.
-
(2004)
IEEE Transactions on Systems, Man, and Cybernetics, Part B
, vol.34
, Issue.4
, pp. 1708-1717
-
-
Chen, S.1
Hong, X.2
Harris, C.J.3
-
11
-
-
0037236821
-
An elementary proof of a theorem of Johnson and Lindenstrauss
-
Dasgupta S. and Gupta A. (2003). An elementary proof of a theorem of Johnson and Lindenstrauss, Random Structures and Algorithms 22(1): 60-65.
-
(2003)
Random Structures and Algorithms
, vol.22
, Issue.1
, pp. 60-65
-
-
Dasgupta, S.1
Gupta, A.2
-
14
-
-
38249031101
-
The Johnson-Lindenstrauss lemma and the sphericity of some graphs
-
Frankl P. and Maehara H. (1987). The Johnson-Lindenstrauss lemma and the sphericity of some graphs, Journal of Combinatorial Theory A 44(3): 355-362.
-
(1987)
Journal of Combinatorial Theory A
, vol.44
, Issue.3
, pp. 355-362
-
-
Frankl, P.1
Maehara, H.2
-
16
-
-
23144467659
-
A hybrid learning based model for on-line detection and analysis of control chart patterns
-
Guh R. (2005). A hybrid learning based model for on-line detection and analysis of control chart patterns. Computers and Industrial Engineering 49(1): 35-62.
-
(2005)
Computers and Industrial Engineering
, vol.49
, Issue.1
, pp. 35-62
-
-
Guh, R.1
-
17
-
-
0027146868
-
The self-organizing reduced kernel density estimator
-
San Francisco, CA, USA
-
Holmström L. and Hämäläinen A. (1993). The self-organizing reduced kernel density estimator, Proceedings of the 1993 IEEE International Conference on Neural Networks, San Francisco, CA, USA, 1: 417-421.
-
(1993)
Proceedings of the 1993 IEEE International Conference on Neural Networks
, vol.1
, pp. 417-421
-
-
Holmström, L.1
Hämäläinen, A.2
-
19
-
-
0031644241
-
Approximate nearest neighbors: Towards removing the curse of dimensionality
-
Dallas, TX, USA, pp
-
Indyk P. and Motwani R. (1998). Approximate nearest neighbors: Towards removing the curse of dimensionality, Proceedings of the 30th Annual ACM Symposium on Theory of Computing, Dallas, TX, USA, pp. 604-613.
-
(1998)
Proceedings of the 30th Annual ACM Symposium on Theory of Computing
, pp. 604-613
-
-
Indyk, P.1
Motwani, R.2
-
21
-
-
0001654702
-
Extensions of Lipshitz mapping into Hilbert space
-
Johnson W. B. and Lindenstrauss J. (1984). Extensions of Lipshitz mapping into Hilbert space. Contemporary Mathematics 26: 189-206.
-
(1984)
Contemporary Mathematics
, vol.26
, pp. 189-206
-
-
Johnson, W.B.1
Lindenstrauss, J.2
-
23
-
-
0032690356
-
Reformulated radial basis neural networks trained by gradient descent
-
Karayiannis N.B. (1999). Reformulated radial basis neural networks trained by gradient descent, IEEE Transactions on Neural Networks 10(3): 657-671.
-
(1999)
IEEE Transactions on Neural Networks
, vol.10
, Issue.3
, pp. 657-671
-
-
Karayiannis, N.B.1
-
24
-
-
0035422273
-
Nonlinear function learning using optimal radial basis function networks
-
Krzyzak A. (2001). Nonlinear function learning using optimal radial basis function networks, Journal on Nonlinear Analysis 47(1): 293-302.
-
(2001)
Journal on Nonlinear Analysis
, vol.47
, Issue.1
, pp. 293-302
-
-
Krzyzak, A.1
-
25
-
-
0030109050
-
Nonparametric estimation and classification using radial basis function nets and empirical risk minimization
-
Krzyzak A., Linder T. and Lugosi G. (2001). Nonparametric estimation and classification using radial basis function nets and empirical risk minimization, IEEE Transactions on Neural Networks 7(2): 475-487.
-
(2001)
IEEE Transactions on Neural Networks
, vol.7
, Issue.2
, pp. 475-487
-
-
Krzyzak, A.1
Linder, T.2
Lugosi, G.3
-
26
-
-
0035421744
-
Convergence and rates of convergence of radial basis functions networks in function learning
-
Krzyzak A. and Niemann H. (2001). Convergence and rates of convergence of radial basis functions networks in function learning, Journal on Nonlinear Analysis 47(1): 281-292.
-
(2001)
Journal on Nonlinear Analysis
, vol.47
, Issue.1
, pp. 281-292
-
-
Krzyzak, A.1
Niemann, H.2
-
27
-
-
9444296016
-
Combining space-filling curves and radial basis function networks
-
Springer-Verlag, Berlin
-
Krzyzak A. and Skubalska-Rafajłlowicz E. (2004). Combining space-filling curves and radial basis function networks. Artificial Intelligence and Soft Computing ICAISC 2004. 7th International conference. Zakopane, Poland, Lecture Notes in Artificial Intelligence, 3070: 229-234, Springer-Verlag, Berlin.
-
(2004)
Artificial Intelligence and Soft Computing ICAISC 2004. 7th International conference. Zakopane, Poland, Lecture Notes in Artificial Intelligence
, vol.3070
, pp. 229-234
-
-
Krzyzak, A.1
Skubalska-Rafajłlowicz, E.2
-
28
-
-
85003107581
-
-
Korbicz J, Kościelny J. M, Kowalczuk Z. and Cholewa W, Eds, Springer-Verlag, Berlin
-
Korbicz J., Kościelny J. M., Kowalczuk Z. and Cholewa W. (Eds) (2004). Fault diagnosis. Models, Artificial Intelligence, Applications, Springer-Verlag, Berlin.
-
(2004)
Fault diagnosis. Models, Artificial Intelligence, Applications
-
-
-
29
-
-
0025532003
-
Classifying process behaviour with neural networks: Strategies for improved training and generalization
-
San Diego, CA, USA, pp
-
Leonard J. A., and Kramer M. A. (1990). Classifying process behaviour with neural networks: Strategies for improved training and generalization, Proceedings of the American Control Conference, San Diego, CA, USA, pp. 2478-2483.
-
(1990)
Proceedings of the American Control Conference
, pp. 2478-2483
-
-
Leonard, J.A.1
Kramer, M.A.2
-
30
-
-
0026135904
-
Radial basis networks for classifying process faults
-
Leonard J.A., and Kramer M.A. (1991). Radial basis networks for classifying process faults, IEEE Control Systems Magazine 11(3): 31-38.
-
(1991)
IEEE Control Systems Magazine
, vol.11
, Issue.3
, pp. 31-38
-
-
Leonard, J.A.1
Kramer, M.A.2
-
31
-
-
0036501528
-
Improving the performance of radial basis function classifiers in condition monitoring and fault diagnosis applications where 'unknown' faults may occur
-
Li Y., Pont M. J. and Jones N.B. (2002). Improving the performance of radial basis function classifiers in condition monitoring and fault diagnosis applications where 'unknown' faults may occur. Pattern Recognition Letters 23(5): 569-577.
-
(2002)
Pattern Recognition Letters
, vol.23
, Issue.5
, pp. 569-577
-
-
Li, Y.1
Pont, M.J.2
Jones, N.B.3
-
32
-
-
35748971790
-
Nonlinear Estimators and tail bounds for dimension reduction in 11 using Cauchy random projections
-
Li P., Hastie T.J. and Church K.W. (2007). Nonlinear Estimators and tail bounds for dimension reduction in 11 using Cauchy random projections, The Journal of Machine Learning Research 8(10): 2497-2532.
-
(2007)
The Journal of Machine Learning Research
, vol.8
, Issue.10
, pp. 2497-2532
-
-
Li, P.1
Hastie, T.J.2
Church, K.W.3
-
33
-
-
58149177386
-
-
Sub-Gaussian random projections, Technical report, Stanford University
-
Li P., Hastie T.J. and Church K.W. (2006). Sub-Gaussian random projections, Technical report, Stanford University.
-
(2006)
-
-
Li, P.1
Hastie, T.J.2
Church, K.W.3
-
34
-
-
0036565037
-
Density estimation and random variate generation using multilayer networks
-
Magdon-Ismail M. and Atiya A. (2002). Density estimation and random variate generation using multilayer networks, IEEE Transactions on Neural Networks 13(3): 497-520.
-
(2002)
IEEE Transactions on Neural Networks
, vol.13
, Issue.3
, pp. 497-520
-
-
Magdon-Ismail, M.1
Atiya, A.2
-
35
-
-
0000672424
-
Fast learning in networks of locally tuned processing units
-
Moody J. and Darken CJ. (1989). Fast learning in networks of locally tuned processing units, Neural Computation 1(2): 281-294.
-
(1989)
Neural Computation
, vol.1
, Issue.2
, pp. 281-294
-
-
Moody, J.1
Darken, C.J.2
-
38
-
-
0001473437
-
On estimation of a probability density function and mode
-
Parzen E. (1962). On estimation of a probability density function and mode, Annals of Mathematical Statistics 33(3): 1065-1076.
-
(1962)
Annals of Mathematical Statistics
, vol.33
, Issue.3
, pp. 1065-1076
-
-
Parzen, E.1
-
39
-
-
0025490985
-
Networks for approximation and learning
-
Poggio T. and Girosi F. (1990). Networks for approximation and learning, Proceedings of the IEEE 78(9): 484-1487.
-
(1990)
Proceedings of the IEEE
, vol.78
, Issue.9
, pp. 484-1487
-
-
Poggio, T.1
Girosi, F.2
-
40
-
-
0001355838
-
Radial basis functions for multivariable interpolation: A review
-
J.C. Mason, M.G. Cox, Eds, Clarendon Press, Oxford, pp
-
Powell M.J.D. (1987). Radial basis functions for multivariable interpolation: A review, in (J.C. Mason, M.G. Cox, Eds.) Algorithms for Approximation, Clarendon Press, Oxford, pp. 143-167.
-
(1987)
Algorithms for Approximation
, pp. 143-167
-
-
Powell, M.J.D.1
-
41
-
-
33746223526
-
RBF nets in fault localization
-
8th International Conference on Artificial Intelligence and Soft Computing, ICAISC, Zakopane, Poland, Springer-Verlag, Berlin/Heidelberg
-
Rafajłlowicz E. (2006). RBF nets in fault localization, 8th International Conference on Artificial Intelligence and Soft Computing - ICAISC 2006. Zakopane, Poland, LNCS, Springer-Verlag, Berlin/Heidelberg, 4029/2006: 113-122.
-
(2006)
LNCS
, vol.4029
, Issue.2006
, pp. 113-122
-
-
Rafajłlowicz, E.1
-
42
-
-
9444291877
-
RBF nets based on equidistributed points
-
Szczecin, Poland
-
Rafajłlowicz E., Skubalska- Rafajłlowicz E. (2003). RBF nets based on equidistributed points, Proceedings of 9th IEEE International Conference: Methods and Models in Automation and Robotics MMAR 2003, Szczecin, Poland, 2: 921-926.
-
(2003)
Proceedings of 9th IEEE International Conference: Methods and Models in Automation and Robotics MMAR 2003
, vol.2
, pp. 921-926
-
-
Rafajłlowicz, E.1
Skubalska- Rafajłlowicz, E.2
-
43
-
-
0034313895
-
Extreme value statistics for novelty detection in biomedical data processing
-
Roberts S. (2000). Extreme value statistics for novelty detection in biomedical data processing, IEE Proceedings: Science, Measurement and Technology 147 (6): 363-367.
-
(2000)
IEE Proceedings: Science, Measurement and Technology
, vol.147
, Issue.6
, pp. 363-367
-
-
Roberts, S.1
-
44
-
-
0026953153
-
Mapping neural networks derived from the Parzen window estimator
-
Schlorer H. and Hartman U. (1992). Mapping neural networks derived from the Parzen window estimator, Neural Networks 5(6): 903-909.
-
(1992)
Neural Networks
, vol.5
, Issue.6
, pp. 903-909
-
-
Schlorer, H.1
Hartman, U.2
-
45
-
-
9444226503
-
On using space-filling curves and vector quantization for constructing multidimensional control charts
-
Zakopane, Poland, pp
-
Skubalska-Rafajłlowicz E. (2000). On using space-filling curves and vector quantization for constructing multidimensional control charts, Proceedings of the 5th on Conference Neural Network and Soft Computing, Zakopane, Poland, pp. 162-167.
-
(2000)
Proceedings of the 5th on Conference Neural Network and Soft Computing
, pp. 162-167
-
-
Skubalska-Rafajłlowicz, E.1
-
46
-
-
33746263239
-
RBF neural network for probability density function estimation and detecting changes in multivariate processes
-
8th International Conference: Artificial Intelligence and Soft Computing, ICAISC, Zakopane, Poland, Springer-Verlag, Berlin/Heidelberg
-
Skubalska-Rafajłlowicz E. (2006a). RBF neural network for probability density function estimation and detecting changes in multivariate processes, 8th International Conference: Artificial Intelligence and Soft Computing - ICAISC 2006. Zakopane, Poland, LNCS, Springer-Verlag, Berlin/Heidelberg 4029/2006: 133-141.
-
(2006)
LNCS
, vol.4029
, Issue.2006
, pp. 133-141
-
-
Skubalska-Rafajłlowicz, E.1
-
48
-
-
0025206332
-
Probabilistic neural networks
-
Specht D.F. (1990). Probabilistic neural networks, Neural Networks 3(1): 109-118.
-
(1990)
Neural Networks
, vol.3
, Issue.1
, pp. 109-118
-
-
Specht, D.F.1
-
49
-
-
14844315829
-
-
American Mathematical Society, Providence, RI
-
Vempala S. (2004). The Random Projection Method, American Mathematical Society, Providence, RI.
-
(2004)
The Random Projection Method
-
-
Vempala, S.1
-
50
-
-
0000517353
-
Improving the performance of radial basis function networks by learning center locations
-
B. Spatz, Ed, Morgan Kaufmann, San Mateo, CA
-
Wettschereck D. and Dietterich T. (1992). Improving the performance of radial basis function networks by learning center locations, in (B. Spatz, Ed.) Advances in Neural Information Processing Systems, Morgan Kaufmann, San Mateo, CA, Vol. 4, pp. 1133-1140.
-
(1992)
Advances in Neural Information Processing Systems
, vol.4
, pp. 1133-1140
-
-
Wettschereck, D.1
Dietterich, T.2
-
51
-
-
0017022844
-
A survey of design methods for failure detection in dynamic systems
-
Willsky A. S. (1976). A survey of design methods for failure detection in dynamic systems, Automatica 12(6): 601-611.
-
(1976)
Automatica
, vol.12
, Issue.6
, pp. 601-611
-
-
Willsky, A.S.1
-
52
-
-
0028341934
-
On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size
-
Xu L., Krzyzak A. and Yuille A. (1994). On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size, Neural Networks 7(4): 609-628.
-
(1994)
Neural Networks
, vol.7
, Issue.4
, pp. 609-628
-
-
Xu, L.1
Krzyzak, A.2
Yuille, A.3
-
54
-
-
0035272084
-
Self-organising mixture networks for probability density estimation
-
Yin H. and Allinson N.M. (2001). Self-organising mixture networks for probability density estimation, IEEE Transactions on Neural Networks 12(2): 405-411.
-
(2001)
IEEE Transactions on Neural Networks
, vol.12
, Issue.2
, pp. 405-411
-
-
Yin, H.1
Allinson, N.M.2
-
55
-
-
0037349382
-
Using novelty detection to identify abnormalities caused by mean shifts in bivariate processes
-
Zorriassatine F., Tannock J.D.T. and O'Brien C. (2003). Using novelty detection to identify abnormalities caused by mean shifts in bivariate processes, Computers and Industrial Engineering 44(3): 385-408.
-
(2003)
Computers and Industrial Engineering
, vol.44
, Issue.3
, pp. 385-408
-
-
Zorriassatine, F.1
Tannock, J.D.T.2
O'Brien, C.3
|