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    ASPLOS
    2010
    ACM
    229views Programming Languages» more  ASPLOS 2010»
    Characterizing processor thermal behavior
    14 years 5 months ago
    Characterizing processor thermal behavior
    Download  users.soe.ucsc.edu
    Temperature is a dominant factor in the performance, reliability, and leakage power consumption of modern processors. As a result, increasing numbers of researchers evaluate therm...
    Francisco J. Mesa-Martinez, Ehsan K. Ardestani, Jo...
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    ACL
    2007
    125views Computational Linguistics» more  ACL 2007»
    Semantic enrichment of journal articles using chemical named entity recognition
    14 years 14 days ago
    Semantic enrichment of journal articles using chemical named entity recognition
    Download  acl.ldc.upenn.edu
    We describe the semantic enrichment of journal articles with chemical structures and biomedical ontology terms using Oscar, a program for chemical named entity recognition (NER). ...
    Colin R. Batchelor, Peter T. Corbett
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    NAACL
    2001
    130views Computational Linguistics» more  NAACL 2001»
    Learning Optimal Dialogue Management Rules by Using Reinforcement Learning and Inductive Logic Programming
    14 years 11 days ago
    Learning Optimal Dialogue Management Rules by Using Reinforcement Learning and Inductive Logic Programming
    Download  www.aclweb.org
    Developing dialogue systems is a complex process. In particular, designing efficient dialogue management strategies is often difficult as there are no precise guidelines to develo...
    Renaud Lecoeuche
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    AAAI
    2011
    128views Intelligent Agents» more  AAAI 2011»
    Termination and Correctness Analysis of Cyclic Control
    12 years 11 months ago
    Termination and Correctness Analysis of Cyclic Control
    Download  rbr.cs.umass.edu
    The utility of including cyclic flow of control in plans has been long recognized by the planning community. Loops in a plan increase both its applicability and the compactness o...
    Siddharth Srivastava, Neil Immerman, Shlomo Zilber...
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    KDD
    2009
    ACM
    164views Data Mining» more  KDD 2009»
    Social influence analysis in large-scale networks
    14 years 11 months ago
    Social influence analysis in large-scale networks
    Download  keg.cs.tsinghua.edu.cn
    In large social networks, nodes (users, entities) are influenced by others for various reasons. For example, the colleagues have strong influence on one's work, while the fri...
    Jie Tang, Jimeng Sun, Chi Wang, Zi Yang
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