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    ICMLA
    2009
    162views Machine Learning» more  ICMLA 2009»
    Transformation Learning Via Kernel Alignment
    13 years 3 months ago
    Transformation Learning Via Kernel Alignment
    Download  www.cs.columbia.edu
    This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
    Andrew Howard, Tony Jebara
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    ICMLA
    2009
    208views Machine Learning» more  ICMLA 2009»
    ECON: A Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approx
    13 years 3 months ago
    ECON: A Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approx
    Download  www.grappa.univ-lille3.fr
    This paper introduces a new algorithm, namely the EquiCorrelation Network (ECON), to perform supervised classification, and regression. ECON is a kernelized LARS-like algorithm, b...
    Manuel Loth, Philippe Preux, Samuel Delepoulle, Ch...
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    ICMLA
    2009
    167views Machine Learning» more  ICMLA 2009»
    Structured Prediction Models for Chord Transcription of Music Audio
    13 years 3 months ago
    Structured Prediction Models for Chord Transcription of Music Audio
    Download  www.cs.columbia.edu
    Chord sequences are a compact and useful description of music, representing each beat or measure in terms of a likely distribution over individual notes without specifying the not...
    Adrian Weller, Daniel P. W. Ellis, Tony Jebara
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    ICMLA
    2009
    121views Machine Learning» more  ICMLA 2009»
    A Syllable-Level Probabilistic Framework for Bird Species Identification
    13 years 3 months ago
    A Syllable-Level Probabilistic Framework for Bird Species Identification
    Download  eecs.oregonstate.edu
    In this paper, we present new probabilistic models for identifying bird species from audio recordings. We introduce the independent syllable model and consider two ways of aggregat...
    Balaji Lakshminarayanan, Raviv Raich, Xiaoli Fern
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    ICMLA
    2009
    136views Machine Learning» more  ICMLA 2009»
    Alive on Back-feed Culprit Identification via Machine Learning
    13 years 3 months ago
    Alive on Back-feed Culprit Identification via Machine Learning
    Download  www1.cs.columbia.edu
    We describe an application of machine learning techniques toward the problem of predicting which network protector switch is the cause of an Alive on Back-Feed (ABF) event in the ...
    Bert C. Huang, Ansaf Salleb-Aouissi, Philip Gross
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