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    EXACT
    2008
    124views Applied Computing» more  EXACT 2008»
    Deriving Explanations From Partial Temporal Information
    13 years 6 months ago
    Deriving Explanations From Partial Temporal Information
    Download  ftp.informatik.rwth-aachen.de
    The representation and manipulation of natural human understanding of temporal phenomena is a fundamental field of study in Computer Science, which aims both to emulate human think...
    Jixin Ma, Brian Knight, Miltos Petridis
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    FLAIRS
    2007
    150views Artificial Intelligence» more  FLAIRS 2007»
    Deriving Chronological Information from Texts through a Graph-Based Algorithm
    13 years 6 months ago
    Deriving Chronological Information from Texts through a Graph-Based Algorithm
    Download  www.aaai.org
    We propose a method of deriving chronological order of events in natural language texts by constraining temporal boundaries associated to events and projecting them on a timeline....
    Cosmin Adrian Bejan
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    EXACT
    2007
    119views Applied Computing» more  EXACT 2007»
    Learning Models from Temporal-Logic Properties via Explanations
    13 years 6 months ago
    Learning Models from Temporal-Logic Properties via Explanations
    Download  www.aaai.org
    Given a model and a property expressed in temporal logic, a model checker normally produces a counterexample in case the model does not satisfy the property. This counterexample i...
    Miguel A. Carrillo, David A. Rosenblueth
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    AIA
    2006
    147views Artificial Intelligence» more  AIA 2006»
    Synthesizing Diagnostic Explanations from Monitoring Data in Multi-Robot Systems
    13 years 5 months ago
    Synthesizing Diagnostic Explanations from Monitoring Data in Multi-Robot Systems
    Download  www.di.unito.it
    The paper discusses the issues concerning monitoring and diagnosis of a multi-robot system involving a team of mobile robots providing services in an environment which is partiall...
    Roberto Micalizio, Pietro Torasso, Gianluca Torta
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    ESANN
    2008
    103views Neural Networks» more  ESANN 2008»
    Selection of important input variables for RBF network using partial derivatives
    13 years 6 months ago
    Selection of important input variables for RBF network using partial derivatives
    Download  www.dice.ucl.ac.be
    In regression problems, making accurate predictions is often the primary goal. Also, relevance of inputs in the prediction of an output would be valuable information in many cases....
    Jarkko Tikka, Jaakko Hollmén
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