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    JMLR
    2010
    151views more  JMLR 2010»
    The Feature Selection Path in Kernel Methods
    12 years 11 months ago
    The Feature Selection Path in Kernel Methods
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    The problem of automatic feature selection/weighting in kernel methods is examined. We work on a formulation that optimizes both the weights of features and the parameters of the ...
    Fuxin Li, Cristian Sminchisescu
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    JMLR
    2010
    117views more  JMLR 2010»
    Bayesian Online Learning for Multi-label and Multi-variate Performance Measures
    12 years 11 months ago
    Bayesian Online Learning for Multi-label and Multi-variate Performance Measures
    Download  jmlr.csail.mit.edu
    Many real world applications employ multivariate performance measures and each example can belong to multiple classes. The currently most popular approaches train an SVM for each ...
    Xinhua Zhang, Thore Graepel, Ralf Herbrich
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    JMLR
    2010
    99views more  JMLR 2010»
    On Combining Graph-based Variance Reduction schemes
    12 years 11 months ago
    On Combining Graph-based Variance Reduction schemes
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    In this paper, we consider two variance reduction schemes that exploit the structure of the primal graph of the graphical model: Rao-Blackwellised w-cutset sampling and AND/OR sam...
    Vibhav Gogate, Rina Dechter
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    JMLR
    2010
    194views more  JMLR 2010»
    Graphical Gaussian modelling of multivariate time series with latent variables
    12 years 11 months ago
    Graphical Gaussian modelling of multivariate time series with latent variables
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    In time series analysis, inference about causeeffect relationships among multiple times series is commonly based on the concept of Granger causality, which exploits temporal struc...
    Michael Eichler
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    JMLR
    2010
    169views more  JMLR 2010»
    Matrix-Variate Dirichlet Process Mixture Models
    12 years 11 months ago
    Matrix-Variate Dirichlet Process Mixture Models
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    We are concerned with a multivariate response regression problem where the interest is in considering correlations both across response variates and across response samples. In th...
    Zhihua Zhang, Guang Dai, Michael I. Jordan
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    JMLR
    2010
    115views more  JMLR 2010»
    Bayesian structure discovery in Bayesian networks with less space
    12 years 11 months ago
    Bayesian structure discovery in Bayesian networks with less space
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    Current exact algorithms for score-based structure discovery in Bayesian networks on n nodes run in time and space within a polynomial factor of 2n . For practical use, the space ...
    Pekka Parviainen, Mikko Koivisto
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    JMLR
    2010
    125views more  JMLR 2010»
    Variational methods for Reinforcement Learning
    12 years 11 months ago
    Variational methods for Reinforcement Learning
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    We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...
    Thomas Furmston, David Barber
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    JMLR
    2010
    149views more  JMLR 2010»
    Coherent Inference on Optimal Play in Game Trees
    12 years 11 months ago
    Coherent Inference on Optimal Play in Game Trees
    Download  jmlr.csail.mit.edu
    Round-based games are an instance of discrete planning problems. Some of the best contemporary game tree search algorithms use random roll-outs as data. Relying on a good policy, ...
    Philipp Hennig, David H. Stern, Thore Graepel
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    JMLR
    2010
    151views more  JMLR 2010»
    Understanding the difficulty of training deep feedforward neural networks
    12 years 11 months ago
    Understanding the difficulty of training deep feedforward neural networks
    Download  jmlr.csail.mit.edu
    Whereas before 2006 it appears that deep multilayer neural networks were not successfully trained, since then several algorithms have been shown to successfully train them, with e...
    Xavier Glorot, Yoshua Bengio
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    JMLR
    2010
    89views more  JMLR 2010»
    Mass Fatality Incident Identification based on nuclear DNA evidence
    12 years 11 months ago
    Mass Fatality Incident Identification based on nuclear DNA evidence
    Download  jmlr.csail.mit.edu
    This paper focuses on the use of nuclear DNA Short Tandem Repeat traits for the identification of the victims of a Mass Fatality Incident. The goal of the analysis is the assessme...
    Fabio Corradi
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