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    AAAI
    1998
    104views Intelligent Agents» more  AAAI 1998»
    A* with Bounded Costs
    14 years 26 days ago
    A* with Bounded Costs
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    A key assumption of all problem-solving approaches based on utility theory, including heuristic search, is that we can assign a utility or cost to each state. This in turn require...
    Brian Logan, Natasha Alechina
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    AAAI
    1998
    100views Intelligent Agents» more  AAAI 1998»
    Branch and Bound Algorithm Selection by Performance Prediction
    14 years 26 days ago
    Branch and Bound Algorithm Selection by Performance Prediction
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    Wepropose a method called Selection by Performance Prediction (SPP) which allows one, when faced with a particular problem instance, to select a Branch and Boundalgorithm from amo...
    Lionel Lobjois, Michel Lemaître
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    AAAI
    1998
    136views Intelligent Agents» more  AAAI 1998»
    Extending GENET to Solve Fuzzy Constraint Satisfaction Problems
    14 years 26 days ago
    Extending GENET to Solve Fuzzy Constraint Satisfaction Problems
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    Despite much research that has been done on constraint satisfaction problems (CSP's), the framework is sometimes inflexible and the results are not very satisfactory when app...
    Jason H. Y. Wong, Ho-Fung Leung
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    AAAI
    1998
    143views Intelligent Agents» more  AAAI 1998»
    BIG: A Resource-Bounded Information Gathering Agent
    14 years 26 days ago
    BIG: A Resource-Bounded Information Gathering Agent
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    Effective information gathering on the WWW is a complex task requiring planning, scheduling, text processing, and interpretation-style reasoning about extracted data to resolve in...
    Victor R. Lesser, Bryan Horling, Frank Klassner, A...
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    AAAI
    1998
    130views Intelligent Agents» more  AAAI 1998»
    Learning Investment Functions for Controlling the Utility of Control Knowledge
    14 years 26 days ago
    Learning Investment Functions for Controlling the Utility of Control Knowledge
    Download  www.cs.technion.ac.il
    The utility problem occurs when the cost of the acquired knowledge outweighs its bene ts. When the learner acquires control knowledge for speeding up a problem solver, the bene t ...
    Oleg Ledeniov, Shaul Markovitch
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    AAAI
    1998
    121views Intelligent Agents» more  AAAI 1998»
    Acceleration Methods for Numeric CSPs
    14 years 26 days ago
    Acceleration Methods for Numeric CSPs
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    This paper introduces a newwayof accelerating the convergenceof numericCSPfiltering algorithms, through the use of extrapolation methotis. Extrapolation methodsare used in numeric...
    Yahia Lebbah, Olivier Lhomme
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    AAAI
    1998
    102views Intelligent Agents» more  AAAI 1998»
    Reversible DAC and Other Improvements for Solving Max-CSP
    14 years 26 days ago
    Reversible DAC and Other Improvements for Solving Max-CSP
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    Javier Larrosa, Pedro Meseguer, Thomas Schiex, G&e...
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    AAAI
    1998
    133views Intelligent Agents» more  AAAI 1998»
    Two Forms of Dependence in Propositional Logic: Controllability and Definability
    14 years 26 days ago
    Two Forms of Dependence in Propositional Logic: Controllability and Definability
    Download  www.aaai.org
    We investigate two forms of dependence between variables and/or formulas within a propositional knowledge base: controllability (a set of variables X controls a formula , if there...
    Jérôme Lang, Pierre Marquis
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    AAAI
    1998
    89views Intelligent Agents» more  AAAI 1998»
    Answering Questions for an Organization Online
    14 years 26 days ago
    Answering Questions for an Organization Online
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    TheWorldWideWebcontinues to challenge organizations to makeonline access to their expertise convenient for their clients. Onemeansof expertise access that manyclients find conveni...
    Vladimir A. Kulyukin, Kristian J. Hammond, Robin D...
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    AAAI
    1998
    81views Intelligent Agents» more  AAAI 1998»
    Feature Generation for Sequence Categorization
    14 years 26 days ago
    Feature Generation for Sequence Categorization
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    The problem of sequence categorization is to generalize from a corpus of labeled sequences procedures for accurately labeling future unlabeled sequences. The choice of representat...
    Daniel Kudenko, Haym Hirsh
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