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    LREC
    2008
    134views Education» more  LREC 2008»
    Evaluation of Lexical Resources and Semantic Networks on a Corpus of Mental Associations
    13 years 10 months ago
    Evaluation of Lexical Resources and Semantic Networks on a Corpus of Mental Associations
    Download  www.lrec-conf.org
    When a user cannot find a word, he may think of semantically related words that could be used into an automatic process to help him. This paper presents an evaluation of lexical r...
    Laurianne Sitbon, Patrice Bellot, Philippe Blache
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    NIPS
    2008
    141views Information Technology» more  NIPS 2008»
    Sparse probabilistic projections
    13 years 10 months ago
    Sparse probabilistic projections
    Download  www.di.ens.fr
    We present a generative model for performing sparse probabilistic projections, which includes sparse principal component analysis and sparse canonical correlation analysis as spec...
    Cédric Archambeau, Francis Bach
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    ISIM
    2007
    142views Information Technology» more  ISIM 2007»
    Verification of Good Design Style of UML Models
    13 years 10 months ago
    Verification of Good Design Style of UML Models
    Download  ftp.informatik.rwth-aachen.de
    Software architecture, and its behavior can be expressed as UML models. Models of complex systems can be also complex and hard to read – they may consists of hundreds of artifact...
    Bogumila Hnatkowska
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    AAAI
    2004
    185views Intelligent Agents» more  AAAI 2004»
    Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo
    13 years 10 months ago
    Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo
    Download  www.aaai.org
    Based on the probabilistic reformulation of principal component analysis (PCA), we consider the problem of determining the number of principal components as a model selection prob...
    Zhihua Zhang, Kap Luk Chan, James T. Kwok, Dit-Yan...
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    EACL
    2006
    ACL Anthology
    143views Natural Language Processing» more  EACL 2006»
    Using Reinforcement Learning to Build a Better Model of Dialogue State
    13 years 10 months ago
    Using Reinforcement Learning to Build a Better Model of Dialogue State
    Download  acl.ldc.upenn.edu
    Given the growing complexity of tasks that spoken dialogue systems are trying to handle, Reinforcement Learning (RL) has been increasingly used as a way of automatically learning ...
    Joel R. Tetreault, Diane J. Litman
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