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    JAIR
    1998
    195views more  JAIR 1998»
    AntNet: Distributed Stigmergetic Control for Communications Networks
    13 years 9 months ago
    AntNet: Distributed Stigmergetic Control for Communications Networks
    Download  www.cs.cmu.edu
    This paper introduces AntNet, a novel approach to the adaptive learning of routing tables in communications networks. AntNet is a distributed, mobile agents based Monte Carlo syst...
    Gianni Di Caro, Marco Dorigo
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    JAIR
    1998
    97views more  JAIR 1998»
    The Divide-and-Conquer Subgoal-Ordering Algorithm for Speeding up Logic Inference
    13 years 9 months ago
    The Divide-and-Conquer Subgoal-Ordering Algorithm for Speeding up Logic Inference
    Download  www.jair.org
    It is common to view programs as a combination of logic and control: the logic part de nes what the program must do, the control part how to do it. The Logic Programming paradigm ...
    Oleg Ledeniov, Shaul Markovitch
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    JAIR
    1998
    198views more  JAIR 1998»
    Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
    13 years 9 months ago
    Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
    Download  www.jair.org
    This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
    Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
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    JAIR
    1998
    92views more  JAIR 1998»
    The Gn, m Phase Transition is Not Hard for the Hamiltonian Cycle Problem
    13 years 9 months ago
    The Gn, m Phase Transition is Not Hard for the Hamiltonian Cycle Problem
    Download  www.jair.org
    Using an improved backtrack algorithm with sophisticated pruning techniques, we revise previous observations correlating a high frequency of hard to solve Hamiltonian cycle instan...
    Basil Vandegriend, Joseph C. Culberson
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    JAIR
    2010
    131views more  JAIR 2010»
    Automatic Induction of Bellman-Error Features for Probabilistic Planning
    13 years 8 months ago
    Automatic Induction of Bellman-Error Features for Probabilistic Planning
    Download  cobweb.ecn.purdue.edu
    Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
    Jia-Hong Wu, Robert Givan
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