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    IUI
    2005
    ACM
    132views Software Engineering» more  IUI 2005»
    Active preference learning for personalized calendar scheduling assistance
    15 years 10 months ago
    Active preference learning for personalized calendar scheduling assistance
    Download  www.eecs.umich.edu
    We present PLIANT, a learning system that supports adaptive assistance in an open calendaring system. PLIANT learns user preferences from the feedback that naturally occurs during...
    Melinda T. Gervasio, Michael D. Moffitt, Martha E....
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    LREC
    2008
    193views Education» more  LREC 2008»
    Eksairesis: A Domain-Adaptable System for Ontology Building from Unstructured Text
    15 years 6 months ago
    Eksairesis: A Domain-Adaptable System for Ontology Building from Unstructured Text
    Download  www.lrec-conf.org
    This paper describes Eksairesis, a system for learning economic domain knowledge automatically from Modern Greek text. The knowledge is in the form of economic terms and the seman...
    Katia Kermanidis, Aristomenis Thanopoulos, Manolis...
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    FROCOS
    2009
    Springer
    123views Control Systems» more  FROCOS 2009»
    Learning to Integrate Deduction and Search in Reasoning about Quantified Boolean Formulas
    15 years 11 months ago
    Learning to Integrate Deduction and Search in Reasoning about Quantified Boolean Formulas
    Download  disi.unitn.it
    Luca Pulina, Armando Tacchella
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    CDC
    2008
    IEEE
    110views Control Systems» more  CDC 2008»
    Feedback Error Learning with insufficient excitation
    15 years 11 months ago
    Feedback Error Learning with insufficient excitation
    Download  ccs2008.robot.kuass.kyoto-u.ac.jp
    Kenji Sugimoto, Basel Alali, Kentaro Hirata
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    LISA
    2004
    75views Operating System» more  LISA 2004»
    Lessons Learned Reimplementing an ISP Mail Service Infrastructure to Cope with Spam
    15 years 6 months ago
    Lessons Learned Reimplementing an ISP Mail Service Infrastructure to Cope with Spam
    Download  www.usenix.org
    Douglas Hughes
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