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Objective classification of galaxy spectra using the information bottleneck method

Monthly notices of the Royal Astronomical Society, 2001-05, Vol.323 (2), p.270-284

2001

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Statistical mechanics of learning from examples

Physical review. A, Atomic, molecular, and optical physics, 1992-04, Vol.45 (8), p.6056-6091

1992

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Predictability, Complexity, and Learning

Neural computation, 2001-11, Vol.13 (11), p.2409-2463

2001

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Cortical Activity Flips Among Quasi-Stationary States

Proceedings of the National Academy of Sciences - PNAS, 1995-09, Vol.92 (19), p.8616-8620

1995

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The Hierarchical Hidden Markov Model: Analysis and Applications

Machine learning, 1998-07, Vol.32 (1), p.41-62

1998

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A statistical approach to learning and generalization in layered neural networks

Proceedings of the IEEE, 1990-10, Vol.78 (10), p.1568-1574

1990

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Selective Sampling Using the Query by Committee Algorithm

Machine learning, 1997-08, Vol.28 (2-3), p.133

1997

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Learning from examples in large neural networks

Physical review letters, 1990-09, Vol.65 (13), p.1683-1686

1990

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Stochastic Computing with Biomolecular Automata

Proceedings of the National Academy of Sciences - PNAS, 2004-07, Vol.101 (27), p.9960-9965

2004

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Effective Model Representation by Information Bottleneck Principle

IEEE transactions on audio, speech, and language processing, 2013-08, Vol.21 (8), p.1755-1759

2013

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An Information Theoretic Tradeoff between Complexity and Accuracy

Learning Theory and Kernel Machines, 2003, p.595-609

2003

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Dynamical encoding of cursive handwriting

Biological cybernetics, 1994, Vol.71 (3), p.227-237

1994

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ProMateus--an open research approach to protein-binding sites analysis

Nucleic acids research, 2007-07, Vol.35 (Web Server issue), p.W543-W548

2007

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Complexity through nonextensivity

Physica A, 2001-12, Vol.302 (1), p.89-99

2001

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Efficient exact p-value computation for small sample, sparse, and surprising categorical data

Journal of computational biology, 2004, Vol.11 (5), p.867-886

2004

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Learning in a Two-Layer Neural Network of Edge Detectors

Europhysics letters, 1990-11, Vol.13 (6), p.567-572

1990

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Consistent inference of probabilities for reproducible experiments

Physical review letters, 1984-01, Vol.52 (16), p.1357-1360

1984

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On the Learnability and Usage of Acyclic Probabilistic Finite Automata

Journal of computer and system sciences, 1998-04, Vol.56 (2), p.133-152

1998

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Global self-organization of all known protein sequences reveals inherent biological signatures

Journal of molecular biology, 1997-05, Vol.268 (2), p.539-556

1997

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Analysis of sound textures in musical and machine sounds by means of higher order statistical features

1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1997, Vol.5, p.3845-3848 vol.5

1997

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Markovian domain fingerprinting: statistical segmentation of protein sequences

Bioinformatics, 2001-10, Vol.17 (10), p.927-934

2001

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Path integrals in Hamiltonian systems: breakup of the last Kolmogorov-Arnold-Moser torus due to random forces

Physical review letters, 1989-01, Vol.62 (4), p.353-356

1989

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A New Nonparametric Pairwise Clustering Algorithm Based on Iterative Estimation of Distance Profiles

Machine learning, 2002-04, Vol.47 (1), p.35-61

2002

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Spotting Neural Spike Patterns Using an Adversary Background Model

Neural computation, 2001-12, Vol.13 (12), p.2681-2708

2001

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Scaling in stochastic Hamiltonian systems: a renormalization approach

Physical review letters, 1987-02, Vol.58 (6), p.527-530

1987

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Objective classification of galaxy spectra using the information bottleneck method

Statistical mechanics of learning from examples

Predictability, Complexity, and Learning

Cortical Activity Flips Among Quasi-Stationary States

The Hierarchical Hidden Markov Model: Analysis and Applications

A statistical approach to learning and generalization in layered neural networks

Selective Sampling Using the Query by Committee Algorithm

Learning from examples in large neural networks

Stochastic Computing with Biomolecular Automata

Effective Model Representation by Information Bottleneck Principle

An Information Theoretic Tradeoff between Complexity and Accuracy

Dynamical encoding of cursive handwriting

ProMateus--an open research approach to protein-binding sites analysis

Complexity through nonextensivity

Efficient exact p-value computation for small sample, sparse, and surprising categorical data

Learning in a Two-Layer Neural Network of Edge Detectors

Consistent inference of probabilities for reproducible experiments

On the Learnability and Usage of Acyclic Probabilistic Finite Automata

Global self-organization of all known protein sequences reveals inherent biological signatures

Analysis of sound textures in musical and machine sounds by means of higher order statistical features

Markovian domain fingerprinting: statistical segmentation of protein sequences

Path integrals in Hamiltonian systems: breakup of the last Kolmogorov-Arnold-Moser torus due to random forces

A New Nonparametric Pairwise Clustering Algorithm Based on Iterative Estimation of Distance Profiles

Spotting Neural Spike Patterns Using an Adversary Background Model

Scaling in stochastic Hamiltonian systems: a renormalization approach

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