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    AAAI
    1996
    114views Intelligent Agents» more  AAAI 1996»
    Formalizing Dependency Directed Backtracking and Explanation Based Learning in Refinement Search
    14 years 11 months ago
    Formalizing Dependency Directed Backtracking and Explanation Based Learning in Refinement Search
    Download  rakaposhi.eas.asu.edu
    The ideas of dependency directed backtracking (DDB) and explanation based learning (EBL) have developed independently in constraint satisfaction, planning and problem solving comm...
    Subbarao Kambhampati
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    AAAI
    1996
    185views Intelligent Agents» more  AAAI 1996»
    Bagging, Boosting, and C4.5
    14 years 11 months ago
    Bagging, Boosting, and C4.5
    Download  www.cs.ecu.edu
    Breiman's bagging and Freund and Schapire's boosting are recent methods for improving the predictive power of classi er learning systems. Both form a set of classi ers t...
    J. Ross Quinlan
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    AAAI
    1996
    124views Intelligent Agents» more  AAAI 1996»
    Opportunity Recognition in Complex Environments
    14 years 11 months ago
    Opportunity Recognition in Complex Environments
    Download  www.aaai.org
    An agent operating in an unpredictable world must be able to take advantage of opportunities but cannot afford to perform a detailed analysis of the effects of every nuance of the...
    Louise Pryor
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    AAAI
    1996
    177views Intelligent Agents» more  AAAI 1996»
    Building Steady-State Simulators via Hierarchical Feedback Decomposition
    14 years 11 months ago
    Building Steady-State Simulators via Hierarchical Feedback Decomposition
    Download  www.aaai.org
    In recent years, compositional modeling and selfexplanatory simulation techniques have simplified the process of building dynamic simulators of physical systems. Building steady-s...
    Nicolas F. Rouquette
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    AAAI
    1996
    116views Intelligent Agents» more  AAAI 1996»
    Monitoring the Progress of Anytime Problem-Solving
    14 years 11 months ago
    Monitoring the Progress of Anytime Problem-Solving
    Download  anytime.cs.umass.edu
    Anytime algorithms offer a tradeoff between solution quality and computation time that has proved useful in applying artificial intelligence techniques to time-critical problems. ...
    Eric A. Hansen, Shlomo Zilberstein
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