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    ICML
    2009
    IEEE
    175views Machine Learning» more  ICML 2009»
    Approximate inference for planning in stochastic relational worlds
    14 years 11 months ago
    Approximate inference for planning in stochastic relational worlds
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    Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
    Tobias Lang, Marc Toussaint
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    BMCBI
    2010
    179views more  BMCBI 2010»
    A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
    13 years 10 months ago
    A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
    Download  www.biomedcentral.com
    Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
    Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang H...
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    IJIT
    2004
    266views Artificial Intelligence» more  IJIT 2004»
    Modeling of Pulping of Sugar Maple Using Advanced Neural Network Learning
    13 years 11 months ago
    Modeling of Pulping of Sugar Maple Using Advanced Neural Network Learning
    Download  www.waset.org
    This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear un...
    W. D. Wan Rosli, Z. Zainuddin, R. Lanouette, S. Sa...
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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 10 months ago
    The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based h
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    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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    IJAR
    2008
    161views more  IJAR 2008»
    Bayesian learning for a class of priors with prescribed marginals
    13 years 10 months ago
    Bayesian learning for a class of priors with prescribed marginals
    Download  www.stat.uni-muenchen.de
    We present Bayesian updating of an imprecise probability measure, represented by a class of precise multidimensional probability measures. Choice and analysis of our class are mot...
    Hermann Held, Thomas Augustin, Elmar Kriegler
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