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    AAAI
    2007
    132views Intelligent Agents» more  AAAI 2007»
    Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution
    13 years 11 months ago
    Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution
    Download  nebl.cse.unr.edu
    Much of artificial intelligence research is focused on devising optimal solutions for challenging and well-defined but highly constrained problems. However, as we begin creating...
    Bobby D. Bryant, Risto Miikkulainen
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    NAACL
    2004
    75views Computational Linguistics» more  NAACL 2004»
    The Web as a Baseline: Evaluating the Performance of Unsupervised Web-based Models for a Range of NLP Tasks
    13 years 10 months ago
    The Web as a Baseline: Evaluating the Performance of Unsupervised Web-based Models for a Range of NLP Tasks
    Download  homepages.inf.ed.ac.uk
    Previous work demonstrated that web counts can be used to approximate bigram frequencies, and thus should be useful for a wide variety of NLP tasks. So far, only two generation ta...
    Mirella Lapata, Frank Keller
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    ACL
    1993
    112views Computational Linguistics» more  ACL 1993»
    Towards History-Based Grammars: Using Richer Models for Probabilistic Parsing
    13 years 10 months ago
    Towards History-Based Grammars: Using Richer Models for Probabilistic Parsing
    Download  www.aclweb.org
    We describe a generative probabilistic model of natural language, which we call HBG, that takes advantage of detailed linguistic information to resolve ambiguity. HBG incorporates...
    Ezra Black, Frederick Jelinek, John D. Lafferty, D...
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    JIRS
    2010
    112views more  JIRS 2010»
    Development and Evaluation of a Chase View for UAV Operations in Cluttered Environments
    13 years 7 months ago
    Development and Evaluation of a Chase View for UAV Operations in Cluttered Environments
    Download  dasl.mem.drexel.edu
    Civilian applications for UAVs will bring these vehicles into low flying areas cluttered with obstacles such as building, trees, power lines, and more importantly civilians. The h...
    James T. Hing, Keith W. Sevcik, Paul Y. Oh
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    ICMLA
    2009
    634views Machine Learning» more  ICMLA 2009»
    Statistical Decision Making for Authentication and Intrusion Detection
    14 years 6 months ago
    Statistical Decision Making for Authentication and Intrusion Detection
    Download  arxiv.org
    User authentication and intrusion detection differ from standard classification problems in that while we have data generated from legitimate users, impostor or intrusion data is s...
    Christos Dimitrakakis, Aikaterini Mitrokotsa
    posted by olethros
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