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    ICMLA
    2009
    169views Machine Learning» more  ICMLA 2009»
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    13 years 6 months ago
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    Download  www.ipb.uni-bonn.de
    Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
    Johannes Hartz
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    ICONIP
    2009
    117views Information Technology» more  ICONIP 2009»
    Exploring Early Classification Strategies of Streaming Data with Delayed Attributes
    13 years 6 months ago
    Exploring Early Classification Strategies of Streaming Data with Delayed Attributes
    Download  marmota.dlsi.uji.es
    In contrast to traditional machine learning algorithms, where all data are available in batch mode, the new paradigm of streaming data poses additional difficulties, since data sam...
    Mónica Millán-Giraldo, J. Salvador S...
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    ICSE
    2009
    IEEE-ACM
    169views Software Engineering» more  ICSE 2009»
    HOLMES: Effective statistical debugging via efficient path profiling
    13 years 6 months ago
    HOLMES: Effective statistical debugging via efficient path profiling
    Download  research.microsoft.com
    Statistical debugging aims to automate the process of isolating bugs by profiling several runs of the program and using statistical analysis to pinpoint the likely causes of failu...
    Trishul M. Chilimbi, Ben Liblit, Krishna K. Mehra,...
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    ICSE
    2009
    IEEE-ACM
    124views Software Engineering» more  ICSE 2009»
    A non-intrusive component-based approach for deploying unanticipated self-management behaviour
    13 years 6 months ago
    A non-intrusive component-based approach for deploying unanticipated self-management behaviour
    Download  www.lasid.ufba.br
    Supporting self-management behaviour by means of component-based architectural solutions has been the focus of many current research projects. In such a context, handling unantici...
    Sandro Santos Andrade, Raimundo José de Ara...
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    ICTAI
    2009
    IEEE
    86views Artificial Intelligence» more  ICTAI 2009»
    TiMDPpoly: An Improved Method for Solving Time-Dependent MDPs
    13 years 6 months ago
    TiMDPpoly: An Improved Method for Solving Time-Dependent MDPs
    Download  www.montefiore.ulg.ac.be
    We introduce TiMDPpoly, an algorithm designed to solve planning problems with durative actions, under probabilistic uncertainty, in a non-stationary, continuous-time context. Miss...
    Emmanuel Rachelson, Patrick Fabiani, Fréd&e...
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