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    AAAI
    2004
    109views Intelligent Agents» more  AAAI 2004»
    Extending CP-Nets with Stronger Conditional Preference Statements
    14 years 11 months ago
    Extending CP-Nets with Stronger Conditional Preference Statements
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    A logic of conditional preferences is defined, with a language which allows the compact representation of certain kinds of conditional preference statements, a semantics and a pro...
    Nic Wilson
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    ESANN
    2006
    117views Neural Networks» more  ESANN 2006»
    Extended model of conditioned learning within latent inhibition
    14 years 11 months ago
    Extended model of conditioned learning within latent inhibition
    Download  www.dice.ucl.ac.be
    Due to the various and dynamic nature of stimuli, decisions of intelligent agents must rely on the coordination of complex cognitive systems. This paper precisely focusses on a gen...
    Nicolas Gomond, Jean Marc Salotti
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    AAAI
    2006
    125views Intelligent Agents» more  AAAI 2006»
    Extending Dynamic Backtracking to Solve Weighted Conditional CSPs
    14 years 11 months ago
    Extending Dynamic Backtracking to Solve Weighted Conditional CSPs
    Download  www.aaai.org
    Many planning and design problems can be characterized as optimal search over a constrained network of conditional choices with preferences. To draw upon the advanced methods of c...
    Robert T. Effinger, Brian C. Williams
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    AIPS
    2000
    116views Artificial Intelligence» more  AIPS 2000»
    Merging Plans with Quantitative Temporal Constraints, Temporally Extended Actions, and Conditional Branches
    14 years 11 months ago
    Merging Plans with Quantitative Temporal Constraints, Temporally Extended Actions, and Conditional Branches
    Download  www.eecs.umich.edu
    We develop an algorithm for merging plans that are represented in a richly expressive language. Speci cally, weare concerned with plans that have i quantitative temporal constrain...
    Ioannis Tsamardinos, Martha E. Pollack, John F. Ho...
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    EMNLP
    2007
    191views Natural Language Processing» more  EMNLP 2007»
    Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors
    14 years 11 months ago
    Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors
    Download  acl.ldc.upenn.edu
    One may need to build a statistical parser for a new language, using only a very small labeled treebank together with raw text. We argue that bootstrapping a parser is most promis...
    David A. Smith, Jason Eisner
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