-
1
-
-
0016355478
-
A new look at the statistical model identification
-
Akaike, H (1974), "A new look at the statistical model identification", IEEE Tr. Automatic Control, 19, 714-723.
-
(1974)
IEEE Tr. Automatic Control
, vol.19
, pp. 714-723
-
-
Akaike, H.1
-
2
-
-
21144438166
-
Likelihood of a model and information criteria
-
Akaike, H (1981), "Likelihood of a model and information criteria", Journal of Econometrics, 16, 3-14.
-
(1981)
Journal of Econometrics
, vol.16
, pp. 3-14
-
-
Akaike, H.1
-
3
-
-
33845722419
-
Factor analysis and AIC
-
Akaike, H (1987), "Factor analysis and AIC", Psychometrika, 52, 317-332.
-
(1987)
Psychometrika
, vol.52
, pp. 317-332
-
-
Akaike, H.1
-
4
-
-
0000971819
-
Statistical inference in factor analysis
-
UC Berkeley
-
Anderson, TW, & Rubin, H (1956), "Statistical inference in factor analysis", Proc. Berkeley Symp. Math. Statist. Prob. 3rd 5, UC Berkeley, 111-150.
-
(1956)
Proc. Berkeley Symp. Math. Statist. Prob. 3rd 5
, pp. 111-150
-
-
Anderson, T.W.1
Rubin, H.2
-
5
-
-
0001740650
-
Training with noise is equivalent to Tikhonov regularization
-
Bishop, C.M., (1995), "Training with noise is equivalent to Tikhonov regularization", Neural Computation 7, 108-116.
-
(1995)
Neural Computation
, vol.7
, pp. 108-116
-
-
Bishop, C.M.1
-
6
-
-
34250108028
-
Model Selection and Akaike's Information Criterion: The general theory and its analytical extension
-
Bozdogan, H (1987) "Model Selection and Akaike's Information Criterion: The general theory and its analytical extension", Psychometrika, 52, 345-370.
-
(1987)
Psychometrika
, vol.52
, pp. 345-370
-
-
Bozdogan, H.1
-
7
-
-
2142731041
-
FACAIC: Model selection algorithm for the orthogonal factor model using AIC and FACAIC
-
Bozdogan, H & Ramirez, DE (1988), "FACAIC: Model selection algorithm for the orthogonal factor model using AIC and FACAIC", Psychometrika 53 (3), 407-415.
-
(1988)
Psychometrika
, vol.53
, Issue.3
, pp. 407-415
-
-
Bozdogan, H.1
Ramirez, D.E.2
-
8
-
-
0031591140
-
Unifying the derivations for the Akaike and corrected Akaike information criteria
-
Cavanaugh, JE (1997), "Unifying the derivations for the Akaike and corrected Akaike information criteria", Statistics & Probability Letters, 33, 201-208.
-
(1997)
Statistics & Probability Letters
, vol.33
, pp. 201-208
-
-
Cavanaugh, J.E.1
-
9
-
-
34249832377
-
A Bayesian method for the induction of probabilistic networks from data
-
Cooper, G & Herskovitz, E (1992), "A Bayesian method for the induction of probabilistic networks from data", Machine Learning, 9, 309-347.
-
(1992)
Machine Learning
, vol.9
, pp. 309-347
-
-
Cooper, G.1
Herskovitz, E.2
-
10
-
-
0029372831
-
The Helmholtz machine
-
Dayan, P. & Hinton, GE (1995), "The Helmholtz machine", Neural Computation 7, No.5, 889-904.
-
(1995)
Neural Computation
, vol.7
, Issue.5
, pp. 889-904
-
-
Dayan, P.1
Hinton, G.E.2
-
11
-
-
0001219859
-
Regularization theory and neural architectures
-
Girosi, F, et al, (1995) "Regularization theory and neural architectures", Neural Computation, 7, 219-269.
-
(1995)
Neural Computation
, vol.7
, pp. 219-269
-
-
Girosi, F.1
-
12
-
-
0029652445
-
The wake-sleep algorithm for unsupervised learning neural networks
-
Hinton, GE, Dayan, P, Frey, BJ, & Neal, RN (1995), "The wake-sleep algorithm for unsupervised learning neural networks", Science 268 1158-1160.
-
(1995)
Science
, vol.268
, pp. 1158-1160
-
-
Hinton, G.E.1
Dayan, P.2
Frey, B.J.3
Neal, R.N.4
-
13
-
-
0002834189
-
Autoencoders, minimum description length and Helmholtz free energy
-
Hinton, GE & Zemel, RS (1994), "Autoencoders, minimum description length and Helmholtz free energy", Advances in NIPS, 6, 3-10.
-
(1994)
Advances in NIPS
, vol.6
, pp. 3-10
-
-
Hinton, G.E.1
Zemel, R.S.2
-
14
-
-
70349119250
-
Regression and time series model in samll samples
-
Hurvich, CM, & Tsai, CL (1989), "Regression and time series model in samll samples", Biometrika, 76, 297-307.
-
(1989)
Biometrika
, vol.76
, pp. 297-307
-
-
Hurvich, C.M.1
Tsai, C.L.2
-
15
-
-
0020102315
-
Optimal choice of AR and MA parts in autoregressive and moving-average models
-
Kashyap, RL (1982), "Optimal choice of AR and MA parts in autoregressive and moving-average models", IEEE Trans. PAMI, 4, 99-104.
-
(1982)
IEEE Trans. PAMI
, vol.4
, pp. 99-104
-
-
Kashyap, R.L.1
-
16
-
-
32044436029
-
Multisets Mixture learning based Ellipse Detection
-
Z.Y. Liu, H. Qiao, & L. Xu, "Multisets Mixture learning based Ellipse Detection", Pattern Recognition 39, pp 731-735, 2006.
-
(2006)
Pattern Recognition
, vol.39
, pp. 731-735
-
-
Liu, Z.Y.1
Qiao, H.2
Xu, L.3
-
17
-
-
0042842439
-
Strip Line Detection and Thinning by RPCL-Based Local PCA
-
Z.Y. Liu, K.C. Chiu, & L. Xu, "Strip Line Detection and Thinning by RPCL-Based Local PCA", Pattern Recognition Letters 24, 2335-2344, 2003.
-
(2003)
Pattern Recognition Letters
, vol.24
, pp. 2335-2344
-
-
Liu, Z.Y.1
Chiu, K.C.2
Xu, L.3
-
18
-
-
0037380809
-
Improved system for object detection and star/galaxy classification via local subspace analysis
-
Liu, ZY, Chiu, KC, & Xu, L (2003), " Improved system for object detection and star/galaxy classification via local subspace analysis", Neural Networks 16, 437-451.
-
(2003)
Neural Networks
, vol.16
, pp. 437-451
-
-
Liu, Z.Y.1
Chiu, K.C.2
Xu, L.3
-
19
-
-
0742271703
-
A gradient BYY harmony learning rule on Gaussian mixture with automated model selection
-
Ma, J,Wang, T, & Xu, L (2004), "A gradient BYY harmony learning rule on Gaussian mixture with automated model selection", Neurocomputing 56 481-487.
-
(2004)
Neurocomputing
, vol.56
, pp. 481-487
-
-
Ma, J.1
Wang, T.2
Xu, L.3
-
20
-
-
0036079846
-
Convergence Analysis of Rival Penalized Competitive Learning (RPCL) Algorithm
-
Hawaii, USA, May 12-17
-
Ma, J & Xu, L (2002), "Convergence Analysis of Rival Penalized Competitive Learning (RPCL) Algorithm", Proc. of Intl. Joint Conf. on Neural Networks (IJCNN '02), Hawaii, USA, May 12-17, 2002, pp 1596-1602.
-
(2002)
Proc. of Intl. Joint Conf. on Neural Networks (IJCNN '02)
, pp. 1596-1602
-
-
Ma, J.1
Xu, L.2
-
21
-
-
0141853629
-
The Correct Convergence of the Rival Penalized Competitive Learning (RPCL) Algorithm
-
October 21-23, Kitakyushu, Japan, Vo
-
Ma, J & Xu, L "The Correct Convergence of the Rival Penalized Competitive Learning (RPCL) Algorithm", Proc. of Intl. Conf. on Neural Information Processing (ICONIP'98), October 21-23, 1998, Kitakyushu, Japan, Vo.1, pp239-242.
-
(1998)
Proc. of Intl. Conf. on Neural Information Processing (ICONIP'98)
, vol.1
, pp. 239-242
-
-
Ma, J.1
Xu, L.2
-
22
-
-
0002704818
-
A practical Bayesian framework for backpropagation
-
Mackey, D (1992) "A practical Bayesian framework for backpropagation", Neural Computation, 4, 448-472.
-
(1992)
Neural Computation
, vol.4
, pp. 448-472
-
-
Mackey, D.1
-
23
-
-
0031084370
-
Regression and Time Series model selection using variants of the Schwarz information criterion
-
Neath, AA & Cavanaugh, JE (1997), "Regression and Time Series model selection using variants of the Schwarz information criterion", Communications in Statistics A, 26, 559-580.
-
(1997)
Communications in Statistics A
, vol.26
, pp. 559-580
-
-
Neath, A.A.1
Cavanaugh, J.E.2
-
24
-
-
0025490985
-
Networks for approximation and learning
-
T.Poggio & F.Girosi, "Networks for approximation and learning", Proc. of IEEE, 78, 1481-1497 (1990).
-
(1990)
Proc. of IEEE
, vol.78
, pp. 1481-1497
-
-
Poggio, T.1
Girosi, F.2
-
25
-
-
0021404166
-
Mixture densities, maximum likelihood, and the EM algorithm
-
Redner, RA & Walker, HF (1984), "Mixture densities, maximum likelihood, and the EM algorithm", SIAM Review, 26, 195-239.
-
(1984)
SIAM Review
, vol.26
, pp. 195-239
-
-
Redner, R.A.1
Walker, H.F.2
-
26
-
-
0000318553
-
Stochastic complexity and modeling
-
Rissanen, J (1986), "Stochastic complexity and modeling", Annals of Statistics, 14(3), 1080-1100.
-
(1986)
Annals of Statistics
, vol.14
, Issue.3
, pp. 1080-1100
-
-
Rissanen, J.1
-
28
-
-
0033561894
-
On Cross Validation for Model Selection
-
Rivals, I & Personnaz, L (1999) "On Cross Validation for Model Selection", Neural Computation, 11, 863-870.
-
(1999)
Neural Computation
, vol.11
, pp. 863-870
-
-
Rivals, I.1
Personnaz, L.2
-
29
-
-
0000120766
-
Estimating the dimension of a model
-
Schwarz, G (1978), "Estimating the dimension of a model", Annals of Statistics, 6, 461-464.
-
(1978)
Annals of Statistics
, vol.6
, pp. 461-464
-
-
Schwarz, G.1
-
30
-
-
0000629975
-
Cross-validatory choice and assessment of statistical prediction
-
Stone, M (1974), "Cross-validatory choice and assessment of statistical prediction", J. Royal Statistical Society B, 36, 111-147.
-
(1974)
J. Royal Statistical Society B
, vol.36
, pp. 111-147
-
-
Stone, M.1
-
31
-
-
0000859675
-
An asymptotic equivalence of choice of model by cross-validation and Akaike's criterion
-
Stone, M (1977), "An asymptotic equivalence of choice of model by cross-validation and Akaike's criterion", J. Royal Statistical Society B, 39 (1), 44-47.
-
(1977)
J. Royal Statistical Society B
, vol.39
, Issue.1
, pp. 44-47
-
-
Stone, M.1
-
32
-
-
0000319198
-
Cross-validation: A review
-
Stone, M (1978), "Cross-validation: A review", Math. Operat. Statist., 9, 127-140.
-
(1978)
Math. Operat. Statist
, vol.9
, pp. 127-140
-
-
Stone, M.1
-
33
-
-
0001588455
-
Comments on model selection criteria of Akaike and Schwartz
-
Stone, M (1979), "Comments on model selection criteria of Akaike and Schwartz. J. Royal Statistical Society B, 41 (2), 276-278.
-
(1979)
J. Royal Statistical Society B
, vol.41
, Issue.2
, pp. 276-278
-
-
Stone, M.1
-
34
-
-
84963178774
-
Further analysis of data by Akaike's information criterion and the finite corrections
-
Sugiura, N (1978), "Further analysis of data by Akaike's information criterion and the finite corrections", Communications in Statistics A, 7, 12-26.
-
(1978)
Communications in Statistics A
, vol.7
, pp. 12-26
-
-
Sugiura, N.1
-
36
-
-
0000107517
-
An information measure for classification
-
Wallace, CS & Boulton, DM (1968), "An information measure for classification", Computer Journal, 11, 185-194.
-
(1968)
Computer Journal
, vol.11
, pp. 185-194
-
-
Wallace, C.S.1
Boulton, D.M.2
-
37
-
-
0000208682
-
Estimation and inference by compact coding
-
Wallace, CS & Freeman, PR (1987), "Estimation and inference by compact coding", J. of the Royal Statistical Society, 49(3), 240-265.
-
(1987)
J. of the Royal Statistical Society
, vol.49
, Issue.3
, pp. 240-265
-
-
Wallace, C.S.1
Freeman, P.R.2
-
38
-
-
0032684826
-
Minimum message length and Kolmogorov complexity
-
Wallace, CS & Dowe, DR (1999), "Minimum message length and Kolmogorov complexity", Computer Journal, 42 (4), 270-280.
-
(1999)
Computer Journal
, vol.42
, Issue.4
, pp. 270-280
-
-
Wallace, C.S.1
Dowe, D.R.2
-
40
-
-
34247105235
-
A Unified Perspective and New Results on RHT Computing, Mixture Based Learning, and Multi-learner Based Problem Solving
-
Xu, L., (2007), "A Unified Perspective and New Results on RHT Computing, Mixture Based Learning, and Multi-learner Based Problem Solving", Pattern Recognition, Vol. 40, pp. 2129-2153, 2007.
-
(2007)
Pattern Recognition
, vol.40
, pp. 2129-2153
-
-
Xu, L.1
-
41
-
-
33847155556
-
Fundamentals, Challenges, and Advances of Statistical Learning for Knowledge Discovery and Problem Solving: A BYY Harmony Perspective
-
Keynote talk, Oct. 13-15, Beijing, China
-
Xu, L., (2005), "Fundamentals, Challenges, and Advances of Statistical Learning for Knowledge Discovery and Problem Solving: A BYY Harmony Perspective", Keynote talk, Proc. of Intl. Conf. on Neural Networks and Brain, Oct. 13-15, 2005, Beijing, China, Vol. 1, pp. 24-55.
-
(2005)
Proc. of Intl. Conf. on Neural Networks and Brain
, vol.1
, pp. 24-55
-
-
Xu, L.1
-
42
-
-
3843066216
-
Temporal BYY Encoding, Markovian State Spaces, and Space Dimension Determination
-
Xu, L. (2004), "Temporal BYY Encoding, Markovian State Spaces, and Space Dimension Determination", IEEE Tr. Neural Networks, V15, N5 pp. 1276-1295.
-
(2004)
IEEE Tr. Neural Networks
, vol.15
, Issue.N5
, pp. 1276-1295
-
-
Xu, L.1
-
43
-
-
3843136240
-
Advances on BYY harmony learning: Information theoretic perspective, generalized projection geometry, and independent factor auto-determination
-
Xu, L (2004), "Advances on BYY harmony learning: Information theoretic perspective, generalized projection geometry, and independent factor auto-determination", IEEE Tr. Neural Networks, V15, N4, pp. 885-902.
-
(2004)
IEEE Tr. Neural Networks
, vol.15
, Issue.N4
, pp. 885-902
-
-
Xu, L.1
-
44
-
-
3843056324
-
Bayesian Ying Yang Learning (I): A Unified Perspective for Statistical Modeling
-
N. Zhong and J. Liu eds, Springer, pp
-
Xu, L. (2004), "Bayesian Ying Yang Learning (I): A Unified Perspective for Statistical Modeling", Intelligent Technologies for Information Analysis, N. Zhong and J. Liu (eds), Springer, pp. 615-659.
-
(2004)
Intelligent Technologies for Information Analysis
, pp. 615-659
-
-
Xu, L.1
-
45
-
-
24344441147
-
Bayesian Ying Yang Learning (II): A New Mechanism for Model Selection and Regularization
-
N. Zhong and J. Liu eds, Springer, pp
-
Xu, L. (2004), "Bayesian Ying Yang Learning (II): A New Mechanism for Model Selection and Regularization", Intelligent Technologies for Information Analysis, N. Zhong and J. Liu (eds), Springer, pp. 661-706.
-
(2004)
Intelligent Technologies for Information Analysis
, pp. 661-706
-
-
Xu, L.1
-
46
-
-
34250013360
-
-
Xu, L. (2004), BI-directional BYY Learning for Mining Structures with Projected Polyhedra and Topological Map, Invited talk, in Proc. of FDM 2004: Foundations of Data Mining, eds., T.Y.Lin, S.Smale, T. Poggio, and C.J. Liau, Brighton, UK, Nov. 01, 2004, pp. 5-18.
-
Xu, L. (2004), "BI-directional BYY Learning for Mining Structures with Projected Polyhedra and Topological Map", Invited talk, in Proc. of FDM 2004: Foundations of Data Mining, eds., T.Y.Lin, S.Smale, T. Poggio, and C.J. Liau, Brighton, UK, Nov. 01, 2004, pp. 5-18.
-
-
-
-
47
-
-
0038355082
-
Data smoothing regularization, multi-sets-learning, and problem solving strategies
-
Xu, L. (2003), "Data smoothing regularization, multi-sets-learning, and problem solving strategies", Neural Networks, V. 15, No. 5-6, 817-825.
-
(2003)
Neural Networks
, vol.15
, Issue.5-6
, pp. 817-825
-
-
Xu, L.1
-
48
-
-
3843095548
-
Independent Component Analysis and Extensions with Noise and Time: A Bayesian Ying-Yang Learning Perspective
-
Xu, L. (2003), "Independent Component Analysis and Extensions with Noise and Time: A Bayesian Ying-Yang Learning Perspective", Neural Information Processing Letters and Reviews, Vol.1, No.1, 1-52.
-
(2003)
Neural Information Processing Letters and Reviews
, vol.1
, Issue.1
, pp. 1-52
-
-
Xu, L.1
-
49
-
-
0036790879
-
BYY Harmony Learning, Structural RPCL, and Topological Self-Organizing on Mixture Models
-
Xu, L (2002), "BYY Harmony Learning, Structural RPCL, and Topological Self-Organizing on Mixture Models ", Neural Networks, V15, N8-9, 1125-1151.
-
(2002)
Neural Networks
, vol.15
-
-
Xu, L.1
-
50
-
-
0242474188
-
Bayesian Ying Yang Harmony Learning
-
Second edition, MA Arbib, Ed, Cambridge, MA: The MIT Press, pp
-
Xu, L, (2002), "Bayesian Ying Yang Harmony Learning", The Handbook of Brain Theory and Neural Networks, Second edition, (MA Arbib, Ed.), Cambridge, MA: The MIT Press, pp. 1231-1237.
-
(2002)
The Handbook of Brain Theory and Neural Networks
, pp. 1231-1237
-
-
Xu, L.1
-
51
-
-
0035391741
-
BYY Harmony Learning, Independent State Space and Generalized APT Financial Analyses
-
Xu, L (2001), "BYY Harmony Learning, Independent State Space and Generalized APT Financial Analyses ", IEEE Tr. Neural Networks, 12 (4), 822-849.
-
(2001)
IEEE Tr. Neural Networks
, vol.12
, Issue.4
, pp. 822-849
-
-
Xu, L.1
-
52
-
-
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
-
Xu, L (2001), "Best Harmony, Unified RPCL and Automated Model Selection for Unsupervised and Supervised Learning on Gaussian Mixtures, Three-Layer Nets and ME-RBF-SVM Models", Intl J of Neural Systems 11 (1), 43-69.
-
(2001)
Intl J of Neural Systems
, vol.11
, Issue.1
, pp. 43-69
-
-
Xu, L.1
-
53
-
-
0033716741
-
Temporal BYY Learning for State Space Approach, Hidden Markov Model and Blind Source Separation
-
Xu, L (2000), "Temporal BYY Learning for State Space Approach, Hidden Markov Model and Blind Source Separation", IEEE Tr. Signal Processing 48, 2132-2144.
-
(2000)
IEEE Tr. Signal Processing
, vol.48
, pp. 2132-2144
-
-
Xu, L.1
-
54
-
-
0344073962
-
RBF Nets, Mixture Experts, and Bayesian Ying-Yang Learning
-
Xu, L (1998), "RBF Nets, Mixture Experts, and Bayesian Ying-Yang Learning", Neurocomputing, Vol. 19, No.1-3, 223-257.
-
(1998)
Neurocomputing
, vol.19
, Issue.1-3
, pp. 223-257
-
-
Xu, L.1
-
55
-
-
0031628777
-
Rival Penalized Competitive Learning, Finite Mixture, and Multisets Clustering
-
Anchorage
-
Xu, L, (1998), "Rival Penalized Competitive Learning, Finite Mixture, and Multisets Clustering", Proc. of IJCNN98, Anchorage, Vol.II, pp. 2525-2530.
-
(1998)
Proc. of IJCNN98
, vol.2
, pp. 2525-2530
-
-
Xu, L.1
-
56
-
-
0031270958
-
Bayesian Ying-Yang Machine, Clustering and Number of Clusters
-
Xu, L (1997), "Bayesian Ying-Yang Machine, Clustering and Number of Clusters", Pattern Recognition Letters 18, No.11-13, 1167-1178.
-
(1997)
Pattern Recognition Letters
, vol.18
, Issue.11-13
, pp. 1167-1178
-
-
Xu, L.1
-
57
-
-
0030659998
-
New Advances on Bayesian Ying-Yang Learning System with Kullback and Non-Kullback Separation Functionals
-
Houston
-
Xu, L, (1997), "New Advances on Bayesian Ying-Yang Learning System with Kullback and Non-Kullback Separation Functionals", Proc. IEEE-INNS Intl. Joint Conf. on Neural Networks (IJCNN97), Houston, Vol. III, pp. 1942-1947.
-
(1997)
Proc. IEEE-INNS Intl. Joint Conf. on Neural Networks (IJCNN97)
, vol.3
, pp. 1942-1947
-
-
Xu, L.1
-
58
-
-
2342533082
-
On convergence properties of the EM algorithm for Gaussian mixtures
-
Xu, L, & Jordan, MI (1996), "On convergence properties of the EM algorithm for Gaussian mixtures", Neural Computation, 8, No.1, 1996, 129-151.
-
(1996)
Neural Computation
, vol.8
, Issue.1
, pp. 129-151
-
-
Xu, L.1
Jordan, M.I.2
-
59
-
-
0005906827
-
Bayesian-Kullback Coupled YING-YANG Machines: Unified Learnings and New Results on Vector Quantization
-
Oct 30-Nov.3, Beijing, pp
-
Xu, L, (1995), "Bayesian-Kullback Coupled YING-YANG Machines: Unified Learnings and New Results on Vector Quantization", Proc. Intl. Conf. on Neural Information Processing, Oct 30-Nov.3, 1995, Beijing, pp. 977-988.
-
(1995)
Proc. Intl. Conf. on Neural Information Processing
, pp. 977-988
-
-
Xu, L.1
-
60
-
-
0002754576
-
A Unified Learning Framework: Multisets Modeling Learning
-
Invited Talk, Washington, DC, July 17-21
-
L. Xu, "A Unified Learning Framework: Multisets Modeling Learning", Invited Talk, Proc. of World Congress on Neural Networks (WCNN95), Washington, DC, July 17-21, 1995, Vol.I, pp. 35-42.
-
(1995)
Proc. of World Congress on Neural Networks (WCNN95)
, vol.1
, pp. 35-42
-
-
Xu, L.1
-
61
-
-
85140116568
-
An Alternative Model for Mixtures of Experts
-
eds, Cowan, JD, et al, MIT Press
-
Xu, L, Jordan, MI, & Hinton, GE (1995), "An Alternative Model for Mixtures of Experts", Advances in Neural Information Processing Systems 7, eds, Cowan, JD, et al, MIT Press, 633-640, 1995.
-
(1995)
Advances in Neural Information Processing Systems 7
, pp. 633-640
-
-
Xu, L.1
Jordan, M.I.2
Hinton, G.E.3
-
62
-
-
0028731590
-
Multisets Modeling Learning: An Unified Theory for Supervised and Unsupervised Learning
-
Invited Talk, Orlando, Florida, June 26-July 2
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L. Xu, "Multisets Modeling Learning: An Unified Theory for Supervised and Unsupervised Learning", Invited Talk, Proc. of IEEE ICNN94, Orlando, Florida, June 26-July 2, 1994, Vol.I, 315-320.
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(1994)
Proc. of IEEE ICNN94
, vol.1
, pp. 315-320
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Xu, L.1
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63
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0028341934
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On Radial Basis Function Nets and Kernel Regression: Statistical Consistency, Convergence Rates and Receptive Field Size
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Xu, L, Krzyzak, A, & Yuille, AL (1994), "On Radial Basis Function Nets and Kernel Regression: Statistical Consistency, Convergence Rates and Receptive Field Size", Neural Networks, 7, 609-628.
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(1994)
Neural Networks
, vol.7
, pp. 609-628
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Xu, L.1
Krzyzak, A.2
Yuille, A.L.3
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64
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0027629412
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Rival Penalized Competitive Learning for Clustering Analysis, RBF net and Curve Detection
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Xu, L, Krzyzak, A & Oja, E (1993), "Rival Penalized Competitive Learning for Clustering Analysis, RBF net and Curve Detection", IEEE Tr. on Neural Networks 4, 636-649.
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(1993)
IEEE Tr. on Neural Networks
, vol.4
, pp. 636-649
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Xu, L.1
Krzyzak, A.2
Oja, E.3
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65
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0027387861
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Randomized Hough Transform (RHT): Basic Mechanisms, Algorithms and Complexities
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Xu, L & Oja, E. (1993), "Randomized Hough Transform (RHT): Basic Mechanisms, Algorithms and Complexities", Computer Vision, Graphics, and Image Processing: Image Understanding, Vol.57, No.2, pp. 131-154.
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(1993)
Computer Vision, Graphics, and Image Processing: Image Understanding
, vol.57
, Issue.2
, pp. 131-154
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Xu, L.1
Oja, E.2
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66
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84986215606
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Unsupervised and Supervised Classifications by Rival Penalized Competitive Learning
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Hauge, Netherlands
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Xu, L, Krzyzak, A & Oja, E (1992), "Unsupervised and Supervised Classifications by Rival Penalized Competitive Learning", Proc. of 11th Intl Conf. on Pattern Recognition (ICPR92), Hauge, Netherlands, Vol.I, pp. 672-675.
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(1992)
Proc. of 11th Intl Conf. on Pattern Recognition (ICPR92)
, vol.1
, pp. 672-675
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Xu, L.1
Krzyzak, A.2
Oja, E.3
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67
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0039849065
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Recent Advances on Techniques Static Feedforward Networks with Supervised Learning
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Xu, L, Klasa, A, & Yuille, A.L. (1992), "Recent Advances on Techniques Static Feedforward Networks with Supervised Learning", International Journal of Neural Systems, Vol.3, No.3, pp. 253-290.
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(1992)
International Journal of Neural Systems
, vol.3
, Issue.3
, pp. 253-290
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Xu, L.1
Klasa, A.2
Yuille, A.L.3
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68
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0026860706
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Several Methods for Combining Multiple Classifiers and Their Applications in Handwritten Character Recognition
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Xu, L., Krzyzak, A., & Suen, C.Y. (1992), "Several Methods for Combining Multiple Classifiers and Their Applications in Handwritten Character Recognition", IEEE Tr. System, Man and Cybernetics, Vol. 22, No.3, pp. 418-435.
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(1992)
IEEE Tr. System, Man and Cybernetics
, vol.22
, Issue.3
, pp. 418-435
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Xu, L.1
Krzyzak, A.2
Suen, C.Y.3
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69
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33747992562
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A New Curve Detection Method: Randomized Hough Transform (RHT)
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Xu, L, Oja, E., & Kultanen, P. (1990), "A New Curve Detection Method: Randomized Hough Transform (RHT)", Pattern Recognition Letters, Vol.11, pp. 331-338.
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(1990)
Pattern Recognition Letters
, vol.11
, pp. 331-338
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Xu, L.1
Oja, E.2
Kultanen, P.3
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70
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0024175265
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Best First Strategy for Feature Selection
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Nov. 14-17, Rome, Italy
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Xu, L, P.F. Yan, & T. Chang (1988), "Best First Strategy for Feature Selection", Proc. of 9th Intl Conf. on Pattern Recognition (ICPR98) Nov. 14-17, 1988, Rome, Italy, Vol.II, pp. 706-709.
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(1988)
Proc. of 9th Intl Conf. on Pattern Recognition (ICPR98)
, vol.2
, pp. 706-709
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Xu, L.1
Yan, P.F.2
Chang, T.3
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71
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46049106446
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Bayesian Ying Yang Learning
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Ying Yang Learning
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Xu, L, (2007), "Bayesian Ying Yang Learning", Scholarpedia, p. 10469, http://scholarpedia.org/article/Bayesian Ying Yang Learning.
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(2007)
Scholarpedia
, pp. 10469
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Xu, L.1
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