keywords: statistics
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Thematic entries for statistics
ICA (11)PCA (1)geometry (2)
information theory (8)mathematics (3)probabilities (5)
All ressources related to statistics
                                                    23 elements   
Bell, A.J., Sejnowski, T.J. An information maximisation approach to blind separation and blind deconvolution Neural Computation 1995 (7)6:1129-1159
Meinecke, F., Ziehe, A., Kawanabe, M., Müller, K.-R. Assessing Reliability of ICA Projections - a Resampling Approach 2001
Bleistein, N., Handelsman, N. Asymptotic Expansions of Integrals 1986
Minka, T.P. Automatic Choice of Dimensionality for PCA Advances in Neural Information Processing Systems 2000 :598-604
Verbeek, J.J., Vlassis, N., Kr\"ose, B. Coordinating Mixtures of Probabilistic Principal Component Analyzers 2002
Cover, T.M., Thomas, J.A. Elements of Information Theory 1991
Lappalainen, H., Miskin, J.W. Ensemble Learning 2000
Atick, J.J. Entropy minimization: A design principle for sensory perception? International Journal of Neural Systems 1992 3:81-90
Cardoso, J.-F. Equivariant adaptive source separation IEEE Trans. on S.P. 1996 (44)45:3017-3030
De Lathauwer, L., De Moor, B., Vandewalle, J. Fetal Electrocardiogram Extraction by Source Subspace Separation Proceedings IEEE SP/Athos Workshop on Higher-Order Statistics 1995 :134-138
Cardoso, J.-F. Infomax and maximum likelihood for source separation IEEE Letters on Signal Processing 1997 (4)4:112-114
Crutchfield, J.P. Information and its metric Nonlinear Structures in Physical Systems - Pattern formation and Chaos and Waves 1990 :119-130
MacKay, D.J.C. Maximum Likelihood and Covariant Algorithms for ICA 1996
Amari, S.-I. , Nagaoka, H. Methods of Information Geometry 1993
Vollgraf, R., Obermayer, K. Multi Dimensional ICA to Separate Correlated Sources 2001
Amari, S.-I. Natural Gradient Learning for Over- and Under-Complete Bases in ICA Neural Computation 1999
Nadal, J.-P. , Parga, N. Non linear neurons in the low noise limit: a factorial code maximizes information transfer Network 1994
Jaynes, E.T. Prior Probabilities 1983 :114--130
Murata, N. Properties of the Empirical Characteristic Function and its Application to Testing for Independence 2001
Amari, S.-I. , Cichocki, A., Yang, H.H. Recurrent Neural Networks for Blind Separation of Sources 1995 :37-42
Linsker, R. Self-organization in a perceptual network IEEE Computer 1988 (21):105-117
Csiszar, I. The Method of Types EEETIT: IEEE Transactions on Information Theory 1998 (44)6:2505-2523
Socci, N.D., Lee, D.D., Seung, H.S. The Rectified Gaussian Distribution 1998 (10)

                                                    last computed Thu Dec 16 21:02:16 GMT+01:00 2004