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    ESANN
    2008
    278views Neural Networks» more  ESANN 2008»
    Learning to play Tetris applying reinforcement learning methods
    13 years 9 months ago
    Learning to play Tetris applying reinforcement learning methods
    Download  www.dice.ucl.ac.be
    In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
    Alexander Groß, Jan Friedland, Friedhelm Sch...
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    LREC
    2008
    139views Education» more  LREC 2008»
    Identification of Comparable Argument-Head Relations in Parallel Corpora
    13 years 9 months ago
    Identification of Comparable Argument-Head Relations in Parallel Corpora
    Download  www.ling.uni-potsdam.de
    We present the machine learning framework that we are developing, in order to support explorative search for non-trivial linguistic configurations in low-density languages (langua...
    Kathrin Spreyer, Jonas Kuhn, Bettina Schrader
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    DAGSTUHL
    2006
    165views Software Engineering» more  DAGSTUHL 2006»
    Point-set algorithms for pattern discovery and pattern matching in music
    13 years 9 months ago
    Point-set algorithms for pattern discovery and pattern matching in music
    Download  drops.dagstuhl.de
    An algorithm that discovers the themes, motives and other perceptually significant repeated patterns in a musical work can be used, for example, in a music information retrieval sy...
    David Meredith
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    SDM
    2004
    SIAM
    174views Data Mining» more  SDM 2004»
    Classifying Documents Without Labels
    13 years 9 months ago
    Classifying Documents Without Labels
    Download  cs.gmu.edu
    Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform classif...
    Daniel Barbará, Carlotta Domeniconi, Ning K...
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    GECCO
    2008
    Springer
    186views Optimization» more  GECCO 2008»
    A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
    13 years 8 months ago
    A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
    Download  www.cloudbus.org
    One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
    A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
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