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    JMLR
    2012
    272views Programming Languages» more  JMLR 2012»
    Multiresolution Deep Belief Networks
    12 years 1 months ago
    Multiresolution Deep Belief Networks
    Download  www.cs.toronto.edu
    Motivated by the observation that coarse and fine resolutions of an image reveal different structures in the underlying visual phenomenon, we present a model based on the Deep B...
    Yichuan Tang, Abdel-rahman Mohamed
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    JMLR
    2012
    205views Programming Languages» more  JMLR 2012»
    Minimax Rates of Estimation for Sparse PCA in High Dimensions
    12 years 1 months ago
    Minimax Rates of Estimation for Sparse PCA in High Dimensions
    Download  jmlr.csail.mit.edu
    We study sparse principal components analysis in the high-dimensional setting, where p (the number of variables) can be much larger than n (the number of observations). We prove o...
    Vincent Q. Vu, Jing Lei
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    JMLR
    2012
    207views Programming Languages» more  JMLR 2012»
    Domain Adaptation: A Small Sample Statistical Approach
    12 years 1 months ago
    Domain Adaptation: A Small Sample Statistical Approach
    Download  www.utstat.toronto.edu
    We study the prevalent problem when a test distribution differs from the training distribution. We consider a setting where our training set consists of a small number of sample d...
    Ruslan Salakhutdinov, Sham M. Kakade, Dean P. Fost...
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    JMLR
    2012
    209views Programming Languages» more  JMLR 2012»
    Exploiting Unrelated Tasks in Multi-Task Learning
    12 years 1 months ago
    Exploiting Unrelated Tasks in Multi-Task Learning
    Download  jmlr.csail.mit.edu
    We study the problem of learning a group of principal tasks using a group of auxiliary tasks, unrelated to the principal ones. In many applications, joint learning of unrelated ta...
    Bernardino Romera-Paredes, Andreas Argyriou, Nadia...
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    JMLR
    2012
    200views Programming Languages» more  JMLR 2012»
    Contextual Bandit Learning with Predictable Rewards
    12 years 1 months ago
    Contextual Bandit Learning with Predictable Rewards
    Download  www.cs.princeton.edu
    Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on th...
    Alekh Agarwal, Miroslav Dudík, Satyen Kale,...
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    JMLR
    2012
    223views Programming Languages» more  JMLR 2012»
    Multiple Texture Boltzmann Machines
    12 years 1 months ago
    Multiple Texture Boltzmann Machines
    Download  homepages.inf.ed.ac.uk
    We assess the generative power of the mPoTmodel of [10] with tiled-convolutional weight sharing as a model for visual textures by specifically training on this task, evaluating m...
    Jyri J. Kivinen, Christopher K. I. Williams
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    JMLR
    2012
    196views Programming Languages» more  JMLR 2012»
    A metric learning perspective of SVM: on the relation of LMNN and SVM
    12 years 1 months ago
    A metric learning perspective of SVM: on the relation of LMNN and SVM
    Download  jmlr.csail.mit.edu
    Support Vector Machines, SVMs, and the Large Margin Nearest Neighbor algorithm, LMNN, are two very popular learning algorithms with quite different learning biases. In this paper...
    Huyen Do, Alexandros Kalousis, Jun Wang, Adam Wozn...
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    JMLR
    2012
    171views Programming Languages» more  JMLR 2012»
    Structured Output Learning with High Order Loss Functions
    12 years 1 months ago
    Structured Output Learning with High Order Loss Functions
    Download  jmlr.csail.mit.edu
    Often when modeling structured domains, it is desirable to leverage information that is not naturally expressed as simply a label. Examples include knowledge about the evaluation ...
    Daniel Tarlow, Richard S. Zemel
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    JMLR
    2012
    192views Programming Languages» more  JMLR 2012»
    Detecting Network Cliques with Radon Basis Pursuit
    12 years 1 months ago
    Detecting Network Cliques with Radon Basis Pursuit
    Download  www.math.pku.edu.cn
    In this paper, we propose a novel formulation of the network clique detection problem by introducing a general network data representation framework. We show connections between o...
    Xiaoye Jiang, Yuan Yao, Han Liu, Leonidas J. Guiba...
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    JMLR
    2012
    169views Programming Languages» more  JMLR 2012»
    Sparsistency of the Edge Lasso over Graphs
    12 years 1 months ago
    Sparsistency of the Edge Lasso over Graphs
    Download  www.cs.cmu.edu
    James Sharpnack, Aarti Singh, Alessandro Rinaldo
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