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    NIPS
    2000
    129views Information Technology» more  NIPS 2000»
    Ensemble Learning and Linear Response Theory for ICA
    13 years 11 months ago
    Ensemble Learning and Linear Response Theory for ICA
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    We propose a general framework for performing independent component analysis (ICA) which relies on ensemble learning and linear response theory known from statistical physics. We ...
    Pedro A. d. F. R. Højen-Sørensen, Ol...
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    NIPS
    2000
    97views Information Technology» more  NIPS 2000»
    Hierarchical Memory-Based Reinforcement Learning
    13 years 11 months ago
    Hierarchical Memory-Based Reinforcement Learning
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    Natalia Hernandez-Gardiol, Sridhar Mahadevan
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    NIPS
    2000
    98views Information Technology» more  NIPS 2000»
    Large Scale Bayes Point Machines
    13 years 11 months ago
    Large Scale Bayes Point Machines
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    Ralf Herbrich, Thore Graepel
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    NIPS
    2000
    115views Information Technology» more  NIPS 2000»
    A PAC-Bayesian Margin Bound for Linear Classifiers: Why SVMs work
    13 years 11 months ago
    A PAC-Bayesian Margin Bound for Linear Classifiers: Why SVMs work
    Download  www.lr.pi.titech.ac.jp
    We investigate how the normalization of vectors influences the result of SVMs. 1 Normalization For the theoretical background, please refer to [1]. 2 Experiments We empirically co...
    Ralf Herbrich, Thore Graepel
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    NIPS
    2000
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    Support Vector Novelty Detection Applied to Jet Engine Vibration Spectra
    13 years 11 months ago
    Support Vector Novelty Detection Applied to Jet Engine Vibration Spectra
    Download  reference.kfupm.edu.sa
    A system has been developed to extract diagnostic information from jet engine carcass vibration data. Support Vector Machines applied to novelty detection provide a measure of how...
    Paul Hayton, Bernhard Schölkopf, Lionel Taras...
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    NIPS
    2000
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    Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks
    13 years 11 months ago
    Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks
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    Richard H. R. Hahnloser, H. Sebastian Seung
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    NIPS
    2000
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    A Comparison of Image Processing Techniques for Visual Speech Recognition Applications
    13 years 11 months ago
    A Comparison of Image Processing Techniques for Visual Speech Recognition Applications
    Download  papers.cnl.salk.edu
    Michael S. Gray, Terrence J. Sejnowski, Javier R. ...
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    NIPS
    2000
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    From Margin to Sparsity
    13 years 11 months ago
    From Margin to Sparsity
    Download  users.cecs.anu.edu.au
    We present an improvement of Noviko 's perceptron convergence theorem. Reinterpreting this mistakebound as a margindependent sparsity guarantee allows us to give a PAC{style ...
    Thore Graepel, Ralf Herbrich, Robert C. Williamson
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    NIPS
    2000
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    Propagation Algorithms for Variational Bayesian Learning
    13 years 11 months ago
    Propagation Algorithms for Variational Bayesian Learning
    Download  www.cse.buffalo.edu
    Zoubin Ghahramani, Matthew J. Beal
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    NIPS
    2000
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    A New Approximate Maximal Margin Classification Algorithm
    13 years 11 months ago
    A New Approximate Maximal Margin Classification Algorithm
    Download  jmlr.csail.mit.edu
    A new incremental learning algorithm is described which approximates the maximal margin hyperplane w.r.t. norm p 2 for a set of linearly separable data. Our algorithm, called alm...
    Claudio Gentile
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