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    BMCBI
    2007
    215views more  BMCBI 2007»
    Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
    13 years 8 months ago
    Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
    Download  www.biomedcentral.com
    Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
    Rainer Opgen-Rhein, Korbinian Strimmer
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    ICALT
    2009
    IEEE
    180views Machine Learning» more  ICALT 2009»
    Integrating Co-design Practices into the Development of Mobile Science Collaboratories
    14 years 3 months ago
    Integrating Co-design Practices into the Development of Mobile Science Collaboratories
    Download  www.stanford.edu
    Scientific practices increasingly incorporate sensors for data capture, information visualization for data analysis, and low-cost mobile devices for fieldbased inquiries incorpora...
    Daniel Spikol, Marcelo Milrad, Heidy Maldonado, Ro...
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    ICIP
    2009
    IEEE
    162views Image Processing» more  ICIP 2009»
    Detection Of Forgery In Paintings Using Supervised Learning
    14 years 9 months ago
    Detection Of Forgery In Paintings Using Supervised Learning
    Download  www.math.princeton.edu
    This paper examines whether machine learning and image analysis tools can be used to assist art experts in the authentication of unknown or disputed paintings. Recent work on this...
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    MLG
    2007
    Springer
    196views Machine Learning» more  MLG 2007»
    Abductive Stochastic Logic Programs for Metabolic Network Inhibition Learning
    14 years 2 months ago
    Abductive Stochastic Logic Programs for Metabolic Network Inhibition Learning
    Download  mlg07.dsi.unifi.it
    Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
    Jianzhong Chen, Stephen Muggleton, Jose Santos
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    ML
    2008
    ACM
    150views Machine Learning» more  ML 2008»
    Learning probabilistic logic models from probabilistic examples
    13 years 8 months ago
    Learning probabilistic logic models from probabilistic examples
    Download  ftp.cs.wisc.edu
    Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
    Jianzhong Chen, Stephen Muggleton, José Car...
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