Optimization of Entropy with Neural Networks

Optimization of Entropy with Neural Networks (1995)

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by Nicol Norbert Schraudolph

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@TECHREPORT{Schraudolph95optimizationof,
    author = {Nicol Norbert Schraudolph},
    title = {Optimization of Entropy with Neural Networks},
    institution = {},
    year = {1995}
}

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6517	Elements of Information Theory - Cover, Thomas - 1991
4409	CE: A Mathematical Theory of Communication - Shannon - 1948
3339	Pattern Classification and Scene Analysis - Duda, Hart - 1973
2802	Optimization by Simulated Annealing - Kirkpatrick, Gelati, et al. - 1983
2718	Neural Networks: A Comprehensive Foundation. Upper Saddle River - Haykin - 1999
2307	Learning internal representations by error propagation - Rumelhart, Hinton, et al. - 1986
1471	Numerical Recipes in C: The Art of Scientific Computing - Press, Flannery, et al. - 1992
1437	I: Principal Component Analysis - Jolliffe - 1986
1412	An introduction to Kolmogorov complexity and its applications, Second edn - Li, Vitanyi - 1997
1314	Finding structure in time - Elman - 1990
1273	Robot vision - Horn - 1986
1158	Self-organization and associative memory - Kohonen - 1984
582	Alignment by maximization of mutual information - Viola, Wells - 1995
364	A learning algorithm for Boltzmann machines - Ackley, Hinton - 1985
336	Simplified neuron model as a principal component analyzer - Oja - 1982
316	A Formal Theory of Inductive Inference - Solomonoff - 1964
283	Increased rates of convergence through learning rate adaptation - Jacobs
264	Self organization in a perceptual network - Linsker - 1988
245	Learning and relearning in Boltzmann machines - Hinton, Sejnowski - 1986
218	Theory for the development of neuron selectivity: Orientation specificity and binocular interaction in visual cortex - Bienenstock, Cooper, et al. - 1982
189	Projection pursuit - HUBER - 1985
189	Optimal unsupervised learning in a single-layer linear feedforward neural network. Neural networks - Sanger - 1989
185	A projection pursuit algorithm for exploratory data analysis - FRIEDMAN, TUKEY - 1974
179	Learning invariance from transformation sequences - Földiak - 1991
170	Neural networks, principal components, and subspaces - Oja - 1989
165	The Helmholtz machine - Dayan, Hinton, et al. - 1995
152	Neural networks and principal component analysis: Learning from examples without local minima - Baldi, Hornik - 1989
140	Control methods used in a study of the vowels - Peterson, Barney - 1952
116	Self-organizing neural network that discovers surfaces in random-dot stereograms. Nature 355 - Becker, GE - 1992
108	Second-Order Methods for Learning: Between Steepest Descent and Newton's Method - Battiti, First- - 1992
86	Training stochastic model recognition algorithms as networks can lead to maximum mutual information estimation of parameters - Bridle - 1989
82	On stochastic approximation of the eigenvectors and the eigenvalues of the expectation of a random matrix - Oja, Karhunen - 1985
72	Logical Basis for Information Theory and Probability Theory - Kolmogorov - 1968
72	Storing covariance with non-linearly interacting neurons - Sejnowski - 1977
70	Maximum likelihood competitive learning - Nowlan - 1990
64	Asymptotics of graphical projection pursuit - Diaconis, Freedman - 1984
59	Adaptive network for optimal linear feature extraction - Foldiak - 1989
49	A minimum description length framework for unsupervised learning. Unpublished doctoral dissertation - Zemel - 1993
47	Learning factorial codes by predictability minimization - Schmidhuber - 1992
45	Adaptation and decorrelation in the cortex - Barlow, Földiák - 1989
40	Introduction to the Theory - Krogh, Palmer, et al. - 1991
40	Feature extraction using an unsupervised neural network - Intrator - 1992
30	On the length of programs for computing binary sequences - Chaitin - 1966
21	Logistic discrimination - Anderson - 1982
20	Unsupervised discrimination of clustered data via optimization of binary information gain - Schraudolph, Sejnowski - 1993
19	Principal components analysis of images via back propagation - Cottrell, Munro - 1988
16	Visualizations of 2-d hidden unit space - Munro - 1991
15	Dynamics of learning in linear feature-discovery networks - Leen - 1991
13	Removing time variation with the anti-hebbian differential synapse - Mitchison - 1991
11	Supervised learning on large redundant training sets - M��ller - 1992