-
1
-
-
0016355478
-
A new look at the statistical model identification
-
Akaike, H.: A new look at the statistical model identification. IEEE Trans. Autom. Control 19, 714-723 (1974)
-
(1974)
IEEE Trans. Autom. Control
, vol.19
, pp. 714-723
-
-
Akaike, H.1
-
2
-
-
21144438166
-
Likelihood of a model and information criteria
-
Akaike, H.: Likelihood of a model and information criteria. J. Econom. 16, 3-14 (1981)
-
(1981)
J. Econom
, vol.16
, pp. 3-14
-
-
Akaike, H.1
-
3
-
-
33749754615
-
A New Learning Algorithm for Blind Signal Separation
-
MIT Press
-
Amari, S., Cichocki, A., Yang, H.: A New Learning Algorithm for Blind Signal Separation. Advances in NIPS, 8, pp. 757-763. MIT Press (1996)
-
(1996)
Advances in NIPS
, vol.8
, pp. 757-763
-
-
Amari, S.1
Cichocki, A.2
Yang, H.3
-
4
-
-
0035135850
-
Aglobally convergent Lagrange and barrier function iterative algorithm for the traveling salesman problem
-
Dang, C., Xu, L.: Aglobally convergent Lagrange and barrier function iterative algorithm for the traveling salesman problem. Neural Netw. 14 (2), 217-230 (2001)
-
(2001)
Neural Netw
, vol.14
, Issue.2
, pp. 217-230
-
-
Dang, C.1
Xu, L.2
-
5
-
-
0038893802
-
A Lagrange multiplier and Hopfield-type barrier function method for the traveling salesman problem
-
Dang, C., Xu, L.: A Lagrange multiplier and Hopfield-type barrier function method for the traveling salesman problem.. Neural Comput. 14 (2), 303-324 (2001)
-
(2001)
Neural Comput
, vol.14
, Issue.2
, pp. 303-324
-
-
Dang, C.1
Xu, L.2
-
6
-
-
0029372831
-
The Helmholtz machine
-
Dayan, P., Hinton, G. E., Neal, R. M., Zemel, R. S.: The Helmholtz machine. Neural Comput. 7 (5), 889-904 (1995)
-
(1995)
Neural Comput
, vol.7
, Issue.5
, pp. 889-904
-
-
Dayan, P.1
Hinton, G.E.2
Neal, R.M.3
Zemel, R.S.4
-
7
-
-
0032216898
-
The geometry of algorithms with orthogonality constraints
-
Edelman, A., Arias, T. A., Smith, S. T.: The geometry of algorithms with orthogonality constraints. SIAM J. Matrix Anal. Appl. 20, 303-353 (1998)
-
(1998)
SIAM J. Matrix Anal. Appl.
, vol.20
, pp. 303-353
-
-
Edelman, A.1
Arias, T.A.2
Smith, S.T.3
-
8
-
-
0021432552
-
A graph distance measure for image analysis
-
Eshera, E., Fu, K. S.: A graph distance measure for image analysis. IEEE Trans. SMC 14 (3), 396-408 (1984)
-
(1984)
IEEE Trans. SMC
, vol.14
, Issue.3
, pp. 396-408
-
-
Eshera, E.1
Fu, K.S.2
-
9
-
-
0002834189
-
Autoencoders, minimum description length and Helmholtz free energy
-
Hinton, G. E., Zemel, R. S.: Autoencoders, minimum description length and Helmholtz free energy. Adv. NIPS 6, 3-10 (1994)
-
(1994)
Adv. NIPS
, vol.6
, pp. 3-10
-
-
Hinton, G.E.1
Zemel, R.S.2
-
10
-
-
0021835689
-
Neural computation of decisions in optimization problems
-
Hopfield, J. J., Tank, D. W.: Neural computation of decisions in optimization problems. Biol. Cybern. 52, 141-152 (1985)
-
(1985)
Biol. Cybern
, vol.52
, pp. 141-152
-
-
Hopfield, J.J.1
Tank, D.W.2
-
12
-
-
4043084564
-
Tutoiral on variational approximation methods
-
Opper, M., Saad, D. eds., MIT press
-
Jaakkola, T. S.: Tutoiral on variational approximation methods. In: Opper, M., Saad, D. (eds.) Advanced Mean Field Methods: Theory and Pratice, pp. 129-160. MIT press (2001)
-
(2001)
Advanced Mean Field Methods: Theory and Pratice
, pp. 129-160
-
-
Jaakkola, T.S.1
-
13
-
-
0033225865
-
Introduction to variational methods for graphical models
-
Jordan, M., Ghahramani, Z., Jaakkola, T., Saul, L.: Introduction to variational methods for graphical models. Mach. Learn. 37, 183-233 (1999)
-
(1999)
Mach. Learn
, vol.37
, pp. 183-233
-
-
Jordan, M.1
Ghahramani, Z.2
Jaakkola, T.3
Saul, L.4
-
15
-
-
26444479778
-
Optimization by simulated annealing
-
Kirkpatrick, S., Gelatt, C. G. Jr., Vecchi, M. P.: Optimization by simulated annealing. Science 220, 671-680 (1983)
-
(1983)
Science
, vol.220
, pp. 671-680
-
-
Kirkpatrick, S.1
Gelatt, C.G.J.2
Vecchi, M.P.3
-
18
-
-
0030676410
-
Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models
-
Moulines, E., Cardoso, J., Gassiat, E.: Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models. Proc. ICASSP97, pp. 3617-3620 (1997)
-
(1997)
Proc. ICASSP97
, pp. 3617-3620
-
-
Moulines, E.1
Cardoso, J.2
Gassiat, E.3
-
19
-
-
0002788893
-
A view of the EM algorithm that justifies incremental, sparse, and other variants
-
Jordan, M. I. ed., MIT Press, Cambridge, MA
-
Neal, R., Hinton, G. E.: A view of the EM algorithm that justifies incremental, sparse, and other variants. In: Jordan, M. I. (ed.) Learning in Graphical Models, pp. 355-368. MIT Press, Cambridge, MA (1999)
-
(1999)
Learning in Graphical Models
, pp. 355-368
-
-
Neal, R.1
Hinton, G.E.2
-
20
-
-
0031084370
-
Regression and time series model selection using variants of the schwarz information criterion
-
Neath, A. A., Cavanaugh, J. E.: Regression and time series model selection using variants of the schwarz information criterion. Commun. Stat. A 26, 559-580 (1997)
-
(1997)
Commun. Stat. a
, vol.26
, pp. 559-580
-
-
Neath, A.A.1
Cavanaugh, J.E.2
-
21
-
-
0025490985
-
Networks for approximation and learning. Proc
-
Poggio, T., Girosi, F.: Networks for approximation and learning. Proc. IEEE 78, 1481-1497 (1990)
-
(1990)
IEEE
, vol.78
, pp. 1481-1497
-
-
Poggio, T.1
Girosi, F.2
-
22
-
-
77954759462
-
Bayesian statistics: Principles, models, and applications
-
Press, S. J.: Bayesian statistics: principles, models, and applications. Factors. Wiley (1989)
-
(1989)
Factors. Wiley
-
-
Press, S.J.1
-
24
-
-
0033561894
-
On cross validation for model selection
-
Rivals, I., Personnaz, L.: On cross validation for model selection. Neural Comput. 11, 863-870 (1999)
-
(1999)
Neural Comput
, vol.11
, pp. 863-870
-
-
Rivals, I.1
Personnaz, L.2
-
26
-
-
77954762302
-
Numerical Bayesian methods applied to signal processing
-
New York
-
Ruanaidh, O., Joseph, J. K.: Numerical Bayesian methods applied to signal processing. Springer-Verlag, New York (1996)
-
(1996)
Springer-Verlag
-
-
Ruanaidh, O.1
Joseph, J.K.2
-
28
-
-
0000120766
-
Estimating the dimension of a model
-
Schwarz, G.: Estimating the dimension of a model. Ann. Stat. 6, 461-464 (1978)
-
(1978)
Ann. Stat
, vol.6
, pp. 461-464
-
-
Schwarz, G.1
-
29
-
-
0000319198
-
Cross-validation: A review
-
Stone, M.: Cross-validation: a review. Math. Operat. Stat. 9, 127-140 (1978)
-
(1978)
Math. Operat. Stat
, vol.9
, pp. 127-140
-
-
Stone, M.1
-
31
-
-
0024069925
-
An eigendecomposition approach to weighted graph matching problems
-
Umeyama, S.: An eigendecomposition approach to weighted graph matching problems. IEEE Trans. Pattern Anal. Mach. Intell. 10 (5), 695-703 (1988)
-
(1988)
IEEE Trans. Pattern Anal. Mach. Intell
, vol.10
, Issue.5
, pp. 695-703
-
-
Umeyama, S.1
-
32
-
-
3042530277
-
The Nature of Statistical Learning Theory
-
Vapnik, V. N.: The Nature of Statistical Learning Theory. Springer (1995)
-
(1995)
Springer
-
-
Vapnik, V.N.1
-
33
-
-
0003969585
-
Estimation of Dependences Based on Empirical Data
-
Vapnik, V. N.: Estimation of Dependences Based on Empirical Data. Springer (2006)
-
(2006)
Springer
-
-
Vapnik, V.N.1
-
34
-
-
0000107517
-
An information measure for classification
-
Wallace, C. S., Boulton, D. M.: An information measure for classification. Comput. J. 11, 185-194 (1968)
-
(1968)
Comput. J.
, vol.11
, pp. 185-194
-
-
Wallace, C.S.1
Boulton, D.M.2
-
35
-
-
77954760297
-
Learning Gaussian mixture models by structural risk minimization
-
Wang, L., Feng, J.: Learning Gaussian mixture models by structural risk minimization. Proc. 2005
-
(2005)
Proc.
-
-
Wang, L.1
Feng, J.2
-
37
-
-
0003217532
-
Combinatorial optimization neural nets based on a hybrid of Lagrange and transformation approaches
-
World Congress Neural Networks, SanDiego, 1994
-
Xu, L.: Combinatorial optimization neural nets based on a hybrid of Lagrange and transformation approaches. Proc. 1994 World Congress Neural Networks, pp. 399-404. SanDiego (1994)
-
(1994)
Proc.
, pp. 399-404
-
-
Xu, L.1
-
38
-
-
0005906827
-
Bayesian-Kullback coupled YING-YANG machines: Unified learnings and new results on vector quantization
-
Beijing
-
Xu, L.: Bayesian-Kullback coupled YING-YANG machines: unified learnings and new results on vector quantization. Proc. ICONIP95, pp. 977-988. Beijing (1995)
-
(1995)
Proc. ICONIP95
, pp. 977-988
-
-
Xu, L.1
-
39
-
-
0141757082
-
On the hybrid LT combinatorial optimization: New U-shape barrier, sigmoid activation, least leaking energy and maximum entropy
-
Beijing
-
Xu, L.: On the hybrid LT combinatorial optimization: new U-shape barrier, sigmoid activation, least leaking energy and maximum entropy. Proc. ICONIP'95, pp. 309-312. Beijing (1995)
-
(1995)
Proc. ICONIP'95
, pp. 309-312
-
-
Xu, L.1
-
40
-
-
0006005149
-
Bayesian Ying-Yang system and theory as a unified statistical learning approach (I): Unsupervised and semi-unsupervised learning
-
Amari, K. ed., Springer-Verlag
-
Xu, L.: Bayesian Ying-Yang system and theory as a unified statistical learning approach (I): unsupervised and semi-unsupervised learning. In: Amari, K. (ed.) Brain-like Computing and Intelligent Information Systems, pp. 241-274. Springer-Verlag (1997)
-
(1997)
Brain-like Computing and Intelligent Information Systems
, pp. 241-274
-
-
Xu, L.1
-
41
-
-
0035391741
-
BYY harmony learning, independent state space, and generalized APT financial analyses
-
DOI 10.1109/72.935094, PII S1045922701050135
-
Xu, L.: BYY harmony learning, independent state space and generalized APT financial analyses. IEEE Trans. Neural Netw. 12, 822-849 (2001) (Pubitemid 32732823)
-
(2001)
IEEE Transactions on Neural Networks
, vol.12
, Issue.4
, pp. 822-849
-
-
Xu, L.1
-
42
-
-
0141633856
-
Distribution approximation, combinatorial optimization, and Lagrange-barrier
-
July 20-24, Portland 2003
-
Xu, L.: Distribution approximation, combinatorial optimization, and Lagrange-barrier. Proc. Intl. Joint Conf. on Neural Networks 2003, July 20-24, pp. 2354-2359. Portland (2003)
-
(2003)
Proc. Intl. Joint Conf. on Neural Networks
, pp. 2354-2359
-
-
Xu, L.1
-
43
-
-
3843095548
-
Independent component analysis and extensions with noise and time
-
Neural Inf. Process. Lett. Rev
-
Xu, L.: Independent component analysis and extensions with noise and time: A Bayesian Ying-Yang learning perspective. Neural Inf. Process. Lett. Rev. 1, 1-52 (2003)
-
(2003)
A Bayesian Ying-Yang Learning Perspective
, vol.1
, pp. 1-52
-
-
Xu, L.1
-
44
-
-
3843066216
-
Temporal BYY encoding, Markovian state spaces, and space dimension determination
-
Xu, L.: Temporal BYY encoding, Markovian state spaces, and space dimension determination. IEEE Trans. Neural Netw. 15, 1276-1295 (2004)
-
(2004)
IEEE Trans. Neural Netw
, vol.15
, pp. 1276-1295
-
-
Xu, L.1
-
45
-
-
3843136240
-
Advances on BYY harmony learning: Information theoretic perspective, generalized projection geometry, and independent factor auto-determination
-
Xu, L.: Advances on BYY harmony learning: information theoretic perspective, generalized projection geometry, and independent factor auto-determination. IEEE Trans. Neural Netw. 15, 885-902 (2004)
-
(2004)
IEEE Trans. Neural Netw
, vol.15
, pp. 885-902
-
-
Xu, L.1
-
46
-
-
3843056324
-
Bayesian Ying Yang learning φ (I): A unified perspective for statistical modeling
-
Zhong, L. ed., Springer
-
Xu, L.: Bayesian Ying Yang learning φ (I): a unified perspective for statistical modeling. In: Zhong, L. (ed.) Intelligent Technologies for Information analysis, pp. 615-659. Springer (2004)
-
(2004)
Intelligent Technologies for Information Analysis
, pp. 615-659
-
-
Xu, L.1
-
47
-
-
24944561673
-
One-Bit-Matching ICA Theorem, convex-concave programming, and combinatorial optimization. Lecture Notes in Computer Science
-
Springer-Verlag
-
Xu, L.: One-Bit-Matching ICA Theorem, convex-concave programming, and combinatorial optimization. Lecture Notes in Computer Science, Advances in Neural Networks, vol. 3496, pp. 5-20. Springer-Verlag (2005)
-
(2005)
Advances in Neural Networks
, vol.3496
, pp. 5-20
-
-
Xu, L.1
-
48
-
-
33847287742
-
One-Bit-Matching theorem for ICA, convex-concave programming on polyhedral set, and distribution approximation for combinatorics
-
Xu, L.: One-Bit-Matching theorem for ICA, convex-concave programming on polyhedral set, and distribution approximation for combinatorics. Neural Comput. 19, 546-569 (2007)
-
(2007)
Neural Comput
, vol.19
, pp. 546-569
-
-
Xu, L.1
-
49
-
-
34249982553
-
A trend onregularization and model selection in statistical learning: A Bayesian Ying Yang learning perspective
-
Duch, M. ed., Springer-Verlag
-
Xu, L.: A trend onregularization and model selection in statistical learning: A Bayesian Ying Yang learning perspective. In: Duch, M. (ed.) Challenges for Computational Intelligence, pp. 365-406. Springer-Verlag (2007)
-
(2007)
Challenges for Computational Intelligence
, pp. 365-406
-
-
Xu, L.1
-
50
-
-
34247105235
-
A unified perspective and new results on RHT computing, mixture based learning, and multilearner based problem solving
-
Xu, L.: A unified perspective and new results on RHT computing, mixture based learning, and multilearner based problem solving. Pattern Recognit. 40, 2129-2153 (2007)
-
(2007)
Pattern Recognit
, vol.40
, pp. 2129-2153
-
-
Xu, L.1
-
51
-
-
46049106446
-
Bayesian Ying Yang learning
-
Xu, L.: Bayesian Ying Yang learning. Scholarpedia 2 (3), 1809 (2007). http://scholarpedia.org/article/BayesianYingYangLearning
-
(2007)
Scholarpedia
, vol.2
, Issue.3
, pp. 1809
-
-
Xu, L.1
-
52
-
-
77954757369
-
From normalized RBF networks to subspace based functions
-
Soria, E., Martín, J. D., Magdalena, R., Martínez, M., Serrano, A. J. eds.
-
Xu L.: From normalized RBF networks to subspace based functions. In: Soria, E., Martín, J. D., Magdalena, R., Martínez, M., Serrano, A. J. (eds.) To Appear in Handbook of Research on Machine Learning Applications. IGI Global (formerly Idea Group Publishing) (2008a)
-
(2008)
To Appear in Handbook of Research on Machine Learning Applications. IGI Global (formerly Idea Group Publishing)
-
-
Xu, L.1
-
53
-
-
46049101030
-
Bayesian Ying Yang system, best harmony learning, and Gaussian manifold based family
-
Zurada, J. M. ed.
-
Xu, L.: Bayesian Ying Yang system, best harmony learning, and Gaussian manifold based family. In: Zurada, J. M. (ed.) Computational Intelligence: Research Frontiers, WCCI2008 Plenary/Invited Lectures, LNCS5050, pp. 48-78 (2008b)
-
(2008)
Computational Intelligence: Research Frontiers, WCCI2008 Plenary/Invited Lectures, LNCS5050
, pp. 48-78
-
-
Xu, L.1
-
54
-
-
2342533082
-
On convergence properties of the EM algorithm for Gaussian mixtures
-
Xu, L., Jordan, M. I.: On convergence properties of the EM algorithm for Gaussian mixtures. Neural Comput. 8 (1), 129-151 (1996)
-
(1996)
Neural Comput
, vol.8
, Issue.1
, pp. 129-151
-
-
Xu, L.1
Jordan, M.I.2
-
55
-
-
0035482004
-
A PCA approach for fast retrieval of structural patterns in attributed graphs
-
Xu, L., King, I.: A PCA approach for fast retrieval of structural patterns in attributed graphs. IEEE Trans. Syst. Man Cybernet. B 31 (5), 812-817 (2001)
-
(2001)
IEEE Trans. Syst. Man Cybernet. B
, vol.31
, Issue.5
, pp. 812-817
-
-
Xu, L.1
King, I.2
-
56
-
-
0027867610
-
A PCA like rule for pattern classification based on attributed graph
-
Oct, Nagoya, Japan 1993
-
Xu, L., Klasa, S.: A PCA like rule for pattern classification based on attributed graph. Proc. 1993 Intl. Joint Conf. on Neural Networks, Oct. 1993, pp. 1281-1284. Nagoya, Japan (1993)
-
(1993)
Proc. 1993 Intl. Joint Conf. on Neural Networks
, pp. 1281-1284
-
-
Xu, L.1
Klasa, S.2
-
57
-
-
0027629412
-
Rival penalized competitive learning for clustering analysis, RBF net and curve detection
-
Xu, L., Krzyzak, A., Oja, E.: Rival penalized competitive learning for clustering analysis, RBF net and curve detection. IEEE Trans. on Neural Netw. 4, 636-649.
-
IEEE Trans. on Neural Netw
, vol.4
, pp. 636-649
-
-
Xu, L.1
Krzyzak, A.2
Oja, E.3
-
59
-
-
46049083679
-
Rival penalized competitive learning
-
Retried from
-
XU, L.: Rival penalized competitive learning. Scholarpedia 2 (8), 1810 Retried from http://www.scholarpedia.org/article/Rival-penalized-competitive- learning
-
Scholarpedia
, vol.2
, Issue.8
, pp. 1810
-
-
Xu, L.1
|