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    ECAI
    2008
    Springer
    142views Artificial Intelligence» more  ECAI 2008»
    Heuristics for Planning with Action Costs Revisited
    13 years 12 months ago
    Heuristics for Planning with Action Costs Revisited
    Download  www.tecn.upf.es
    We introduce a simple variation of the additive heuristic used in the HSP planner that combines the benefits of the original additive heuristic, namely its mathematical formulation...
    Emil Keyder, Hector Geffner
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    APVIS
    2007
    130views Information Technology» more  APVIS 2007»
    A comparison of vertex ordering algorithms for large graph visualization
    13 years 11 months ago
    A comparison of vertex ordering algorithms for large graph visualization
    Download  www.osl.iu.edu
    In this study, we examine the use of graph ordering algorithms for visual analysis of data sets using visual similarity matrices. Visual similarity matrices display the relationsh...
    Christopher Mueller, Benjamin Martin, Andrew Lumsd...
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    IIR
    2010
    127views Information Technology» more  IIR 2010»
    An IR-Based Approach for Tag Recommendation
    13 years 11 months ago
    An IR-Based Approach for Tag Recommendation
    Download  sunsite.informatik.rwth-aachen.de
    Thanks to the continuous growth of collaborative platforms like YouTube, Flickr and Delicious, we are recently witnessing to a rapid evolution of web dynamics towards a more `soci...
    Cataldo Musto, Fedelucio Narducci, Marco de Gemmis...
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    ACL
    2006
    161views Computational Linguistics» more  ACL 2006»
    Minimum Risk Annealing for Training Log-Linear Models
    13 years 11 months ago
    Minimum Risk Annealing for Training Log-Linear Models
    Download  www.cs.jhu.edu
    When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
    David A. Smith, Jason Eisner
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    UAI
    2004
    127views Artificial Intelligence» more  UAI 2004»
    Active Model Selection
    13 years 11 months ago
    Active Model Selection
    Download  www.ualberta.ca
    Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
    Omid Madani, Daniel J. Lizotte, Russell Greiner
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