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    WILF
    2005
    Springer
    194views Fuzzy Logic» more  WILF 2005»
    Learning Bayesian Classifiers from Gene-Expression MicroArray Data
    14 years 1 months ago
    Learning Bayesian Classifiers from Gene-Expression MicroArray Data
    Download  www.mi.ieiit.cnr.it
    Computing methods that allow the efficient and accurate processing of experimentally gathered data play a crucial role in biological research. The aim of this paper is to present a...
    Andrea Bosin, Nicoletta Dessì, Diego Libera...
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    ACL
    2008
    127views Computational Linguistics» more  ACL 2008»
    Learning Effective Multimodal Dialogue Strategies from Wizard-of-Oz Data: Bootstrapping and Evaluation
    13 years 9 months ago
    Learning Effective Multimodal Dialogue Strategies from Wizard-of-Oz Data: Bootstrapping and Evaluation
    Download  www.aclweb.org
    We address two problems in the field of automatic optimization of dialogue strategies: learning effective dialogue strategies when no initial data or system exists, and evaluating...
    Verena Rieser, Oliver Lemon
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    IJAR
    2010
    152views more  IJAR 2010»
    Structural-EM for learning PDG models from incomplete data
    13 years 6 months ago
    Structural-EM for learning PDG models from incomplete data
    Download  pgm08.cs.aau.dk
    Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
    Jens D. Nielsen, Rafael Rumí, Antonio Salme...
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    IROS
    2006
    IEEE
    132views Robotics» more  IROS 2006»
    Supervised Learning of Topological Maps using Semantic Information Extracted from Range Data
    14 years 1 months ago
    Supervised Learning of Topological Maps using Semantic Information Extracted from Range Data
    Download  www.informatik.uni-freiburg.de
    Abstract— This paper presents an approach to create topological maps from geometric maps obtained with a mobile robot in an indoor-environment using range data. Our approach util...
    Óscar Martínez Mozos, Wolfram Burgar...
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    SDM
    2007
    SIAM
    198views Data Mining» more  SDM 2007»
    Learning from Time-Changing Data with Adaptive Windowing
    13 years 9 months ago
    Learning from Time-Changing Data with Adaptive Windowing
    Download  siam.org
    We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
    Albert Bifet, Ricard Gavaldà
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