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    ICML
    2010
    IEEE
    231views Machine Learning» more  ICML 2010»
    Toward Off-Policy Learning Control with Function Approximation
    13 years 8 months ago
    Toward Off-Policy Learning Control with Function Approximation
    Download  www.sztaki.hu
    We present the first temporal-difference learning algorithm for off-policy control with unrestricted linear function approximation whose per-time-step complexity is linear in the ...
    Hamid Reza Maei, Csaba Szepesvári, Shalabh ...
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    EUROCOLT
    1999
    Springer
    131views Machine Learning» more  EUROCOLT 1999»
    Mind Change Complexity of Learning Logic Programs
    13 years 11 months ago
    Mind Change Complexity of Learning Logic Programs
    Download  www.comp.nus.edu.sg
    The present paper motivates the study of mind change complexity for learning minimal models of length-bounded logic programs. It establishes ordinal mind change complexity bounds ...
    Sanjay Jain, Arun Sharma
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    SIGIR
    2009
    ACM
    162views Information Technology» more  SIGIR 2009»
    Compressing term positions in web indexes
    14 years 2 months ago
    Compressing term positions in web indexes
    Download  cis.poly.edu
    Large search engines process thousands of queries per second on billions of pages, making query processing a major factor in their operating costs. This has led to a lot of resear...
    Hao Yan, Shuai Ding, Torsten Suel
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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 7 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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    BMCBI
    2007
    133views more  BMCBI 2007»
    Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
    13 years 7 months ago
    Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
    Download  www.biomedcentral.com
    Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
    Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...
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