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    JMLR
    2006
    143views more  JMLR 2006»
    Consistency and Convergence Rates of One-Class SVMs and Related Algorithms
    14 years 9 months ago
    Consistency and Convergence Rates of One-Class SVMs and Related Algorithms
    Download  jmlr.csail.mit.edu
    We determine the asymptotic behaviour of the function computed by support vector machines (SVM) and related algorithms that minimize a regularized empirical convex loss function i...
    Régis Vert, Jean-Philippe Vert
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    JMLR
    2006
    90views more  JMLR 2006»
    Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition
    14 years 9 months ago
    Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition
    Download  www.cs.technion.ac.il
    We present worst case bounds for the learning rate of a known prediction method that is based on hierarchical applications of binary context tree weighting (CTW) predictors. A heu...
    Ron Begleiter, Ran El-Yaniv
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    JMLR
    2006
    108views more  JMLR 2006»
    Learning Spectral Clustering, With Application To Speech Separation
    14 years 9 months ago
    Learning Spectral Clustering, With Application To Speech Separation
    Download  www.cs.berkeley.edu
    Spectral clustering refers to a class of techniques which rely on the eigenstructure of a similarity matrix to partition points into disjoint clusters, with points in the same clu...
    Francis R. Bach, Michael I. Jordan
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    JMLR
    2006
    150views more  JMLR 2006»
    Building Support Vector Machines with Reduced Classifier Complexity
    14 years 9 months ago
    Building Support Vector Machines with Reduced Classifier Complexity
    Download  jmlr.csail.mit.edu
    Support vector machines (SVMs), though accurate, are not preferred in applications requiring great classification speed, due to the number of support vectors being large. To overc...
    S. Sathiya Keerthi, Olivier Chapelle, Dennis DeCos...
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    JMLR
    2006
    105views more  JMLR 2006»
    Linear State-Space Models for Blind Source Separation
    14 years 9 months ago
    Linear State-Space Models for Blind Source Separation
    Download  jmlr.csail.mit.edu
    We apply a type of generative modelling to the problem of blind source separation in which prior knowledge about the latent source signals, such as time-varying auto-correlation a...
    Rasmus Kongsgaard Olsson, Lars Kai Hansen
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