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    ICA
    2010
    Springer
    136views Signal Processing» more  ICA 2010»
    Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models
    13 years 6 months ago
    Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models
    Download  www.ar.sanken.osaka-u.ac.jp
    Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
    Takanori Inazumi, Shohei Shimizu, Takashi Washio
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    BMCBI
    2010
    174views more  BMCBI 2010»
    The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based h
    13 years 5 months ago
    The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based h
    Download  www.biomedcentral.com
    Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...
    Junbai Wang
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    UAI
    2003
    107views Artificial Intelligence» more  UAI 2003»
    The Revisiting Problem in Mobile Robot Map Building: A Hierarchical Bayesian Approach
    13 years 6 months ago
    The Revisiting Problem in Mobile Robot Map Building: A Hierarchical Bayesian Approach
    Download  www.cs.washington.edu
    We present an application of hierarchical Bayesian estimation to robot map building. The revisiting problem occurs when a robot has to decide whether it is seeing a previously-bui...
    Benjamin Stewart, Jonathan Ko, Dieter Fox, Kurt Ko...
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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 8 months ago
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    Download  www.biomedcentral.com
    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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    IJAR
    2007
    130views more  IJAR 2007»
    Bayesian network learning algorithms using structural restrictions
    13 years 5 months ago
    Bayesian network learning algorithms using structural restrictions
    Download  decsai.ugr.es
    The use of several types of structural restrictions within algorithms for learning Bayesian networks is considered. These restrictions may codify expert knowledge in a given domai...
    Luis M. de Campos, Javier Gomez Castellano
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