-
1
-
-
0029587111
-
Information geometry of the EM and em algorithms for neural networks
-
S. Amari, "Information geometry of the EM and em algorithms for neural networks," Neural Netw., vol. 8, no. 9, pp. 1379-1408, 1995.
-
(1995)
Neural Netw.
, vol.8
, Issue.9
, pp. 1379-1408
-
-
Amari, S.1
-
2
-
-
0000971819
-
Statistical inference in factor analysis
-
Berkeley, CA
-
T. W. Anderson and H. Rubin, "Statistical inference in factor analysis," in Proc. 3rd Berkeley Symp. Mathemtaics Statistical Probabilities, vol. 5, Berkeley, CA, 1956, pp. 111-150.
-
(1956)
Proc. 3rd Berkeley Symp. Mathemtaics Statistical Probabilities
, vol.5
, pp. 111-150
-
-
Anderson, T.W.1
Rubin, H.2
-
3
-
-
0016355478
-
A new look at the statistical model identification
-
June
-
H. Akaike, "A new look at the statistical model identification," IEEE Trans. Automat. Contr., vol. AC-19, pp. 714-723, June 1974.
-
(1974)
IEEE Trans. Automat. Contr.
, vol.AC-19
, pp. 714-723
-
-
Akaike, H.1
-
4
-
-
34250108028
-
Model selection and Akaike's informafion criterion: The general theory and its analytical extension
-
H. Bozdogan, "Model selection and Akaike's informafion criterion: The general theory and its analytical extension," Psychometrika, vol. 52, pp. 345-370, 1987.
-
(1987)
Psychometrika
, vol.52
, pp. 345-370
-
-
Bozdogan, H.1
-
7
-
-
84947936853
-
Stock price and index forecasting by arbitrage pricing theory-based gaussian TFA learning
-
H. yin et al., Eds. New York: Springer-Verlag
-
K. C. Chiu and L. Xu et al., "Stock price and index forecasting by arbitrage pricing theory-based gaussian TFA learning," in Intelligent Data Engineering and Automated Learning - IDEAL 2002, H. yin et al., Eds. New York: Springer-Verlag, 2002, vol. LNCS 2412, pp. 366-371.
-
(2002)
Intelligent Data Engineering and Automated Learning - IDEAL 2002
, vol.LNCS2412
, pp. 366-371
-
-
Chiu, K.C.1
Xu, L.2
-
8
-
-
0021776661
-
A massively parallel architecture for a self-organizing neural pattern recognition machine
-
G. A. Carrpenter and S. Grossberg, "A massively parallel architecture for a self-organizing neural pattern recognition machine," Computer Vis. Graph. Image Process., vol. 37, pp. 54-115, 1987.
-
(1987)
Computer Vis. Graph. Image Process.
, vol.37
, pp. 54-115
-
-
Carrpenter, G.A.1
Grossberg, S.2
-
9
-
-
0029372831
-
The Helmholtz machine
-
P. Dayan et al., "The Helmholtz machine," Neural Computat., vol. 7, no. 5, pp. 889-904, 1995.
-
(1995)
Neural Computat.
, vol.7
, Issue.5
, pp. 889-904
-
-
Dayan, P.1
-
10
-
-
0032216898
-
The geometry of algorithms with orthogonal constraints
-
T. Edelman and S. Smith, "The geometry of algorithms with orthogonal constraints," SIAM J. Matrix Anal. Appl., vol. 20, pp. 303-353, 1998.
-
(1998)
SIAM J. Matrix Anal. Appl.
, vol.20
, pp. 303-353
-
-
Edelman, T.1
Smith, S.2
-
11
-
-
0002834189
-
Autoencoders, minimum description length and Helmholtz free energy
-
G. E. Hinton and R. S. Zemel, "Autoencoders, minimum description length and Helmholtz free energy," Advances in NIPS, vol. 6, pp. 3-10, 1994.
-
(1994)
Advances in NIPS
, vol.6
, pp. 3-10
-
-
Hinton, G.E.1
Zemel, R.S.2
-
12
-
-
35048883479
-
A comparative study of several cluster number selection criteria
-
Lecture Notes in Computer Science 2690
-
X. L. Hu and L. Xu, "A comparative study of several cluster number selection criteria," in Intelligent Data Engineering and Automated Learning - IDEAL, Lecture Notes in Computer Science 2690, 2003, pp. 195-202.
-
(2003)
Intelligent Data Engineering and Automated Learning - IDEAL
, pp. 195-202
-
-
Hu, X.L.1
Xu, L.2
-
13
-
-
4644228752
-
A comparative investigation on subspace dimension determination
-
to be published
-
X. L. Hu, "A comparative investigation on subspace dimension determination," Neural Netw., 2004, to be published.
-
(2004)
Neural Netw.
-
-
Hu, X.L.1
-
14
-
-
85024429815
-
A new approach to linear filtering and prediction problems
-
March
-
R. E. Kalman, "A new approach to linear filtering and prediction problems," Trans. ASME, J Basic Eng., March 1960.
-
(1960)
Trans. ASME, J Basic Eng.
-
-
Kalman, R.E.1
-
15
-
-
3843115044
-
Cerebellum and motor cobtrol
-
Second ed, M. Arbib, Ed. Cambridge, MA: MIT Press
-
M. Kawamoto, "Cerebellum and motor cobtrol," in The Handbook of Brain Theory and Neural Networks, Second ed, M. Arbib, Ed. Cambridge, MA: MIT Press, 2002, pp. 190-195.
-
(2002)
The Handbook of Brain Theory and Neural Networks
, pp. 190-195
-
-
Kawamoto, M.1
-
16
-
-
0031084370
-
Regression and time series model selection using variants of the Schwarz information criterion
-
A. A. Neath and J. E. Cavanaugh, "Regression and time series model selection using variants of the Schwarz information criterion," Communications Statist. A, vol. 26, pp. 559-580, 1997.
-
(1997)
Communications Statist. A
, vol.26
, pp. 559-580
-
-
Neath, A.A.1
Cavanaugh, J.E.2
-
18
-
-
0000318553
-
Stochastic complexity and modeling
-
J. Rissanen, "Stochastic complexity and modeling," Ann. Statist., vol. 14, no. 3, pp. 1080-1100, 1986.
-
(1986)
Ann. Statist.
, vol.14
, Issue.3
, pp. 1080-1100
-
-
Rissanen, J.1
-
19
-
-
0032614642
-
Hypothesis selection and testing by the MDL principle
-
J. Rissanen, "Hypothesis selection and testing by the MDL principle," Comput. J., vol. 42, no. 4, pp. 260-269, 1999.
-
(1999)
Comput. J.
, vol.42
, Issue.4
, pp. 260-269
-
-
Rissanen, J.1
-
20
-
-
85156241149
-
Exploiting tractable structures in intractable networks
-
Cambridge, MA: MIT Press
-
L. Saul and M. I. Jordan "Exploiting tractable structures in intractable networks," in Advances in Neural Information Processing Systems. Cambridge, MA: MIT Press, 1995, vol. 8, pp. 486-492.
-
(1995)
Advances in Neural Information Processing Systems
, vol.8
, pp. 486-492
-
-
Saul, L.1
Jordan, M.I.2
-
21
-
-
0000120766
-
Estimating the dimension of a model
-
G. Schwarz, "Estimating the dimension of a model," Ann. Statist., vol. 6, pp. 461-464, 1978.
-
(1978)
Ann. Statist.
, vol.6
, pp. 461-464
-
-
Schwarz, G.1
-
22
-
-
0000319198
-
Cross-validation: A review
-
M. Stone, "Cross-validation: A review," Math. Oper. Statist., vol. 9, pp. 127-140, 1978.
-
(1978)
Math. Oper. Statist.
, vol.9
, pp. 127-140
-
-
Stone, M.1
-
25
-
-
0032684826
-
Minimum message length and Kolmogorov complexity
-
C. S. Wallace and D. R. Dowe, "Minimum message length and Kolmogorov complexity," Comput. J., vol. 42, no. 4, pp. 270-280, 1999.
-
(1999)
Comput. J.
, vol.42
, Issue.4
, pp. 270-280
-
-
Wallace, C.S.1
Dowe, D.R.2
-
26
-
-
3843136240
-
Advances on BYY harmony learning: Information theoretic perspective, generalized projection geometry, and independent factor autodetermination
-
July
-
L. Xu, "Advances on BYY harmony learning: Information theoretic perspective, generalized projection geometry, and independent factor autodetermination," IEEE Trans. Neural Networks., vol. 15, pp. 885-902, July 2004.
-
(2004)
IEEE Trans. Neural Networks.
, vol.15
, pp. 885-902
-
-
Xu, L.1
-
27
-
-
3843095548
-
Independent component analysis and extensions with noise and time: A Bayesian Ying-Yang learning perspective
-
L. Xu, "Independent component analysis and extensions with noise and time: A Bayesian Ying-Yang learning perspective," Neural Inform. Process. Lett. Rev., vol. 1, no. 1, pp. 1-52, 2003.
-
(2003)
Neural Inform. Process. Lett. Rev.
, vol.1
, Issue.1
, pp. 1-52
-
-
Xu, L.1
-
28
-
-
0037380850
-
BYY learning, regularized implementation, and model selection on modular networks with one hidden layer of binary units
-
L. Xu, "BYY learning, regularized implementation, and model selection on modular networks with one hidden layer of binary units," Neurocomput., vol. 51, pp. 227-301, 2003.
-
(2003)
Neurocomput.
, vol.51
, pp. 227-301
-
-
Xu, L.1
-
29
-
-
0038355082
-
Data smoothing regularization, multi-sets-learning, and problem solving strategies
-
L. Xu, "Data smoothing regularization, multi-sets-learning, and problem solving strategies," Neural Netw., vol. 15, no. 5-6, pp. 817-825, 2003.
-
(2003)
Neural Netw.
, vol.15
, Issue.5-6
, pp. 817-825
-
-
Xu, L.1
-
30
-
-
0036790879
-
BYY harmony learning, structural RPCL, and topological self-organizing on mixture models
-
L. Xu, "BYY harmony learning, structural RPCL, and topological self-organizing on mixture models," Neural Netw., vol. 15, pp. 1125-1151, 2000a.
-
(2000)
Neural Netw.
, vol.15
, pp. 1125-1151
-
-
Xu, L.1
-
31
-
-
0242474188
-
Bayesian Ying Yang harmony Learning
-
Second ed, M. A. Arbib, Ed. Cambridge, MA: MIT Press
-
L. Xu, "Bayesian Ying Yang harmony Learning," in The Handbook of Brain Theory and Neural Networks, Second ed, M. A. Arbib, Ed. Cambridge, MA: MIT Press, 2002b, pp. 1231-1237.
-
(2002)
The Handbook of Brain Theory and Neural Networks
, pp. 1231-1237
-
-
Xu, L.1
-
32
-
-
0035391741
-
BYY harmony learning, independent state space and generalized apt financial analyzes
-
July
-
L. Xu, "BYY harmony learning, independent state space and generalized apt financial analyzes," IEEE Trans. Neural Networks, vol. 12, pp. 822-849, July 2001.
-
(2001)
IEEE Trans. Neural Networks
, vol.12
, pp. 822-849
-
-
Xu, L.1
-
33
-
-
0035259214
-
Best harmony, unified RPCL and automated model selection for unsupervised and supervised learning on Gaussian mixtures, three-layer nets and ME-RBF-SVM models
-
L. Xu, "Best harmony, unified RPCL and automated model selection for unsupervised and supervised learning on Gaussian mixtures, three-layer nets and ME-RBF-SVM models," Int. J. Neural Syst., vol. 11, no. 1, pp. 43-69, 2001.
-
(2001)
Int. J. Neural Syst.
, vol.11
, Issue.1
, pp. 43-69
-
-
Xu, L.1
-
34
-
-
0033716741
-
Temporal BYY learning for state space approach, hidden Markov model and blind source separation
-
July
-
L. Xu, "Temporal BYY learning for state space approach, hidden Markov model and blind source separation," IEEE Trans. Signal Processing, vol. 48, pp. 2132-2144, July 2000.
-
(2000)
IEEE Trans. Signal Processing
, vol.48
, pp. 2132-2144
-
-
Xu, L.1
-
35
-
-
0033325257
-
Temporal Bayesian Ying-Yang dependence reduction, blind source separation and principal independent components
-
Washington, D.C
-
L. Xu, "Temporal Bayesian Ying-Yang dependence reduction, blind source separation and principal independent components," in Proc. Int. Joint Conf. Neural Networks '99, vol. 2, Washington, D.C., pp. 1071-1076.
-
Proc. Int. Joint Conf. Neural Networks '99
, vol.2
, pp. 1071-1076
-
-
Xu, L.1
-
36
-
-
0032213587
-
Bayesian kullback Ying-Yang dependence reduction theory
-
L. Xu, "Bayesian kullback Ying-Yang dependence reduction theory," Neurocomput., vol. 22, no. 1-3, pp. 81-112, 1998.
-
(1998)
Neurocomput.
, vol.22
, Issue.1-3
, pp. 81-112
-
-
Xu, L.1
-
37
-
-
0012707139
-
Bayesian Ying-Yang system and theory as a unified statistical learning approach: (V) temporal modeling for temporal perception and control
-
Kitakyushu, Japan, Oct. 21-23
-
L. Xu, "Bayesian Ying-Yang system and theory as a unified statistical learning approach: (v) temporal modeling for temporal perception and control," in Proc. Int. Conf. Neural Information Processing (ICONIP'98), vol. 2, Kitakyushu, Japan, Oct. 21-23, 1998, pp. 877-884.
-
(1998)
Proc. Int. Conf. Neural Information Processing (ICONIP'98)
, vol.2
, pp. 877-884
-
-
Xu, L.1
-
38
-
-
0345019851
-
Learned parametric mixture based ICA algorithm
-
L. Xu, C. C. Cheung, and S.-1. Amari, "Learned parametric mixture based ICA algorithm," Neurocomput., vol. 22, no. 1-3, pp. 69-80, 1998.
-
(1998)
Neurocomput.
, vol.22
, Issue.1-3
, pp. 69-80
-
-
Xu, L.1
Cheung, C.C.2
Amari, S.-I.3
-
39
-
-
0344073962
-
RBF nets, mixture experts, and Bayesian Ying-Yang learning
-
L. Xu, "RBF nets, mixture experts, and Bayesian Ying-Yang learning," Neurocomput., vol. 19, no. 1-3, pp. 223-257, 1998.
-
(1998)
Neurocomput.
, vol.19
, Issue.1-3
, pp. 223-257
-
-
Xu, L.1
-
40
-
-
85156254039
-
A Unified Learning Scheme: Bayesian-Kullback Ying-Yang machine
-
D. S. Touretzky et al., Eds. Cambridge, MA: MIT Press
-
L. Xu, "A Unified Learning Scheme: Bayesian-Kullback Ying-Yang machine," in Advances in Neural Information Processing Systems, D. S. Touretzky et al., Eds. Cambridge, MA: MIT Press, 1995-1996, vol. 8, pp. 444-450.
-
(1995)
Advances in Neural Information Processing Systems
, vol.8
, pp. 444-450
-
-
Xu, L.1
-
41
-
-
0027629412
-
Rival penalized competitive learning for clustering analysis, RBF net and curve detection
-
July
-
L. Xu, A. Krzyzak, and E. Oja, "Rival penalized competitive learning for clustering analysis, RBF net and curve detection," IEEE Trans. Neural Networks, vol. 4, pp. 636-649, July 1993.
-
(1993)
IEEE Trans. Neural Networks
, vol.4
, pp. 636-649
-
-
Xu, L.1
Krzyzak, A.2
Oja, E.3
-
42
-
-
0027206958
-
Least mean square error reconstruction for self-organizing neural-nets
-
L. Xu, "Least mean square error reconstruction for self-organizing neural-nets," Neural Netw., vol. 6, pp. 627-648, 1991-93.
-
(1991)
Neural Netw.
, vol.6
, pp. 627-648
-
-
Xu, L.1
|