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    JISBD
    2003
    116views Software Engineering» more  JISBD 2003»
    Coupling the ontology layer with the resource layer: a rule-based approach
    13 years 10 months ago
    Coupling the ontology layer with the resource layer: a rule-based approach
    Download  www.onekin.org
    Abstract. Ontology languages are being proposed to provide machine-understandable descriptions of resources that permit easy location of these resource. Content managers can also b...
    Jon Iturrioz, Oscar Díaz, Sergio Fern&aacut...
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    LEGE
    2003
    94views Education» more  LEGE 2003»
    Dynamic Learning Agents and Enhanced Presence on the Grid
    13 years 10 months ago
    Dynamic Learning Agents and Enhanced Presence on the Grid
    Download  www.stanford.edu
    Human Learning on the Grid will be based on the synergies between advanced software and Human agents. These synergies will be possible to the extent that conversational protocols ...
    Stefano A. Cerri, Marc Eisenstadt, Clement Jonquet
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    PDPTA
    2003
    129views Distributed And Parallel Com...» more  PDPTA 2003»
    Globally Consistent Dynamic Reconfiguration
    13 years 10 months ago
    Globally Consistent Dynamic Reconfiguration
    Download  hagimont.perso.enseeiht.fr
    The evolution of distributed applications to reflect structural changes or to adapt to specific conditions of the run-time environment is a difficult issue especially if continuou...
    Noel De Palma, Sara Bouchenak, Slim Ben Atallah, D...
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    AAAI
    2000
    144views Intelligent Agents» more  AAAI 2000»
    Back to the Future for Consistency-Based Trajectory Tracking
    13 years 10 months ago
    Back to the Future for Consistency-Based Trajectory Tracking
    Download  people.csail.mit.edu
    Given a model of a physical process and a sequence of commands and observations received over time, the task of an autonomous controller is to determine the likely states of the p...
    James Kurien, P. Pandurang Nayak
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    UAI
    2003
    154views Artificial Intelligence» more  UAI 2003»
    Learning Continuous Time Bayesian Networks
    13 years 10 months ago
    Learning Continuous Time Bayesian Networks
    Download  robotics.stanford.edu
    Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
    Uri Nodelman, Christian R. Shelton, Daphne Koller
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