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    BMCBI
    2006
    150views more  BMCBI 2006»
    Predicting protein subcellular locations using hierarchical ensemble of Bayesian classifiers based on Markov chains
    13 years 8 months ago
    Predicting protein subcellular locations using hierarchical ensemble of Bayesian classifiers based on Markov chains
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    Background: The subcellular location of a protein is closely related to its function. It would be worthwhile to develop a method to predict the subcellular location for a given pr...
    Alla Bulashevska, Roland Eils
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    BMCBI
    2007
    136views more  BMCBI 2007»
    Prediction of tissue-specific cis-regulatory modules using Bayesian networks and regression trees
    13 years 8 months ago
    Prediction of tissue-specific cis-regulatory modules using Bayesian networks and regression trees
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    Background: In vertebrates, a large part of gene transcriptional regulation is operated by cisregulatory modules. These modules are believed to be regulating much of the tissue-sp...
    Xiaoyu Chen, Mathieu Blanchette
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    ICML
    2007
    IEEE
    166views Machine Learning» more  ICML 2007»
    A recursive method for discriminative mixture learning
    14 years 8 months ago
    A recursive method for discriminative mixture learning
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    We consider the problem of learning density mixture models for classification. Traditional learning of mixtures for density estimation focuses on models that correctly represent t...
    Minyoung Kim, Vladimir Pavlovic
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    IJCAI
    1997
    129views Artificial Intelligence» more  IJCAI 1997»
    Object Identification in a Bayesian Context
    13 years 9 months ago
    Object Identification in a Bayesian Context
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    Object identification—the task of deciding that two observed objects are in fact one and the same object—is a fundamental requirement for any situated agent that reasons about...
    Timothy Huang, Stuart J. Russell
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    BMCBI
    2011
    252views Artificial Intelligence» more  BMCBI 2011»
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    12 years 11 months ago
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
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    Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
    Raphael Mourad, Christine Sinoquet, Philippe Leray
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