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    NIPS
    2007
    147views Information Technology» more  NIPS 2007»
    Convex Relaxations of Latent Variable Training
    14 years 11 months ago
    Convex Relaxations of Latent Variable Training
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    We investigate a new, convex relaxation of an expectation-maximization (EM) variant that approximates a standard objective while eliminating local minima. First, a cautionary resu...
    Yuhong Guo, Dale Schuurmans
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    UAI
    2008
    234views Artificial Intelligence» more  UAI 2008»
    Improving the Accuracy and Efficiency of MAP Inference for Markov Logic
    14 years 11 months ago
    Improving the Accuracy and Efficiency of MAP Inference for Markov Logic
    Download  uai2008.cs.helsinki.fi
    In this work we present Cutting Plane Inference (CPI), a Maximum A Posteriori (MAP) inference method for Statistical Relational Learning. Framed in terms of Markov Logic and inspi...
    Sebastian Riedel
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    AAAI
    2006
    81views Intelligent Agents» more  AAAI 2006»
    Strategy Variations in Analogical Problem Solving
    14 years 11 months ago
    Strategy Variations in Analogical Problem Solving
    Download  www.qrg.northwestern.edu
    While it is commonly agreed that analogy is useful in human problem solving, exactly how analogy can and should be used remains an intriguing problem. VanLehn (1998) for instance ...
    Tom Y. Ouyang, Kenneth D. Forbus
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    ESANN
    2006
    186views Neural Networks» more  ESANN 2006»
    Bayesian source separation: beyond PCA and ICA
    14 years 11 months ago
    Bayesian source separation: beyond PCA and ICA
    Download  www.dice.ucl.ac.be
    Blind source separation (BSS) has become one of the major signal and image processing area in many applications. Principal component analysis (PCA) and Independent component analys...
    Ali Mohammad-Djafari
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    ESANN
    2006
    161views Neural Networks» more  ESANN 2006»
    OnlineDoubleMaxMinOver: a simple approximate time and information efficient online Support Vector Classification method
    14 years 11 months ago
    OnlineDoubleMaxMinOver: a simple approximate time and information efficient online Support Vector Classification method
    Download  www.dice.ucl.ac.be
    Abstract. We present the OnlineDoubleMaxMinOver approach to obtain the Support Vectors in two class classification problems. With its linear time complexity and linear convergence ...
    Daniel Schneegaß, Thomas Martinetz, Michael ...
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