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    JMLR
    2010
    117views more  JMLR 2010»
    Bayesian Online Learning for Multi-label and Multi-variate Performance Measures
    13 years 4 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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    ICASSP
    2011
    IEEE
    237views Signal Processing» more  ICASSP 2011»
    Fast adaptive variational sparse Bayesian learning with automatic relevance determination
    13 years 1 months ago
    Fast adaptive variational sparse Bayesian learning with automatic relevance determination
    Download  mirlab.org
    In this work a new adaptive fast variational sparse Bayesian learning (V-SBL) algorithm is proposed that is a variational counterpart of the fast marginal likelihood maximization ...
    Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulk...
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    UAI
    1996
    168views Artificial Intelligence» more  UAI 1996»
    Bayesian Learning of Loglinear Models for Neural Connectivity
    13 years 11 months ago
    Bayesian Learning of Loglinear Models for Neural Connectivity
    Download  www.mpib-berlin.mpg.de
    This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
    Kathryn B. Laskey, Laura Martignon
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    JMLR
    2012
    230views Programming Languages» more  JMLR 2012»
    Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
    12 years 11 days ago
    Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
    Download  www.cs.cmu.edu
    The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
    Avneesh Singh Saluja, Priya Krishnan Sundararajan,...
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    ICML
    2003
    IEEE
    170views Machine Learning» more  ICML 2003»
    Exploration and Exploitation in Adaptive Filtering Based on Bayesian Active Learning
    14 years 10 months ago
    Exploration and Exploitation in Adaptive Filtering Based on Bayesian Active Learning
    Download  www-2.cs.cmu.edu
    In the task of adaptive information filtering, a system receives a stream of documents but delivers only those that match a person's information need. As the system filters i...
    Yi Zhang, Wei Xu, James P. Callan
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