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    JMLR
    2006
    96views more  JMLR 2006»
    Rearrangement Clustering: Pitfalls, Remedies, and Applications
    13 years 11 months ago
    Rearrangement Clustering: Pitfalls, Remedies, and Applications
    Download  jmlr.csail.mit.edu
    Given a matrix of values in which the rows correspond to objects and the columns correspond to features of the objects, rearrangement clustering is the problem of rearranging the ...
    Sharlee Climer, Weixiong Zhang
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    JMLR
    2006
    113views more  JMLR 2006»
    On Inferring Application Protocol Behaviors in Encrypted Network Traffic
    13 years 11 months ago
    On Inferring Application Protocol Behaviors in Encrypted Network Traffic
    Download  jmlr.csail.mit.edu
    Several fundamental security mechanisms for restricting access to network resources rely on the ability of a reference monitor to inspect the contents of traffic as it traverses t...
    Charles V. Wright, Fabian Monrose, Gerald M. Masso...
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    JMLR
    2006
    97views more  JMLR 2006»
    Learning Coordinate Covariances via Gradients
    13 years 11 months ago
    Learning Coordinate Covariances via Gradients
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    We introduce an algorithm that learns gradients from samples in the supervised learning framework. An error analysis is given for the convergence of the gradient estimated by the ...
    Sayan Mukherjee, Ding-Xuan Zhou
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    JMLR
    2006
    134views more  JMLR 2006»
    Considering Cost Asymmetry in Learning Classifiers
    13 years 11 months ago
    Considering Cost Asymmetry in Learning Classifiers
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    Receiver Operating Characteristic (ROC) curves are a standard way to display the performance of a set of binary classifiers for all feasible ratios of the costs associated with fa...
    Francis R. Bach, David Heckerman, Eric Horvitz
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    JMLR
    2006
    85views more  JMLR 2006»
    Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation
    13 years 11 months ago
    Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation
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    Kazuho Watanabe, Sumio Watanabe
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    JMLR
    2006
    190views more  JMLR 2006»
    Causal Graph Based Decomposition of Factored MDPs
    13 years 11 months ago
    Causal Graph Based Decomposition of Factored MDPs
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    We present Variable Influence Structure Analysis, or VISA, an algorithm that performs hierarchical decomposition of factored Markov decision processes. VISA uses a dynamic Bayesia...
    Anders Jonsson, Andrew G. Barto
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    JMLR
    2006
    61views more  JMLR 2006»
    In Search of Non-Gaussian Components of a High-Dimensional Distribution
    13 years 11 months ago
    In Search of Non-Gaussian Components of a High-Dimensional Distribution
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    Gilles Blanchard, Motoaki Kawanabe, Masashi Sugiya...
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    JMLR
    2006
    79views more  JMLR 2006»
    Estimation of Gradients and Coordinate Covariation in Classification
    13 years 11 months ago
    Estimation of Gradients and Coordinate Covariation in Classification
    Download  jmlr.csail.mit.edu
    We introduce an algorithm that simultaneously estimates a classification function as well as its gradient in the supervised learning framework. The motivation for the algorithm is...
    Sayan Mukherjee, Qiang Wu
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    JMLR
    2006
    186views more  JMLR 2006»
    Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
    13 years 11 months ago
    Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
    Download  people.cs.uchicago.edu
    We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
    Mikhail Belkin, Partha Niyogi, Vikas Sindhwani
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    JMLR
    2006
    137views more  JMLR 2006»
    Bounds for Linear Multi-Task Learning
    13 years 11 months ago
    Bounds for Linear Multi-Task Learning
    Download  www.andreas-maurer.eu
    Abstract. We give dimension-free and data-dependent bounds for linear multi-task learning where a common linear operator is chosen to preprocess data for a vector of task speci...c...
    Andreas Maurer
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