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    ICMLA
    2007
    92views Machine Learning» more  ICMLA 2007»
    Control of a re-entrant line manufacturing model with a reinforcement learning approach
    13 years 9 months ago
    Control of a re-entrant line manufacturing model with a reinforcement learning approach
    Download  www.smitlab.uc.edu
    This paper presents the application of a reinforcement learning (RL) approach for the near-optimal control of a re-entrant line manufacturing (RLM) model. The RL approach utilizes...
    José A. Ramírez-Hernández, Em...
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    CVPR
    2006
    IEEE
    240views Computer Vision» more  CVPR 2006»
    Hidden Conditional Random Fields for Gesture Recognition
    14 years 10 months ago
    Hidden Conditional Random Fields for Gesture Recognition
    Download  people.csail.mit.edu
    We introduce a discriminative hidden-state approach for the recognition of human gestures. Gesture sequences often have a complex underlying structure, and models that can incorpo...
    Sy Bor Wang, Ariadna Quattoni, Louis-Philippe More...
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    ESANN
    2007
    132views Neural Networks» more  ESANN 2007»
    Systematicity in sentence processing with a recursive self-organizing neural network
    13 years 9 months ago
    Systematicity in sentence processing with a recursive self-organizing neural network
    Download  www.coli.uni-saarland.de
    Abstract. As potential candidates for human cognition, connectionist models of sentence processing must learn to behave systematically by generalizing from a small traning set. It ...
    Igor Farkas, Matthew W. Crocker
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    EUMAS
    2006
    116views Intelligent Agents» more  EUMAS 2006»
    A Metamodel for Verifying Institutions
    13 years 9 months ago
    A Metamodel for Verifying Institutions
    Download  sunsite.informatik.rwth-aachen.de
    To investigate the interdependencies existing among deontic positions (like powers and obligations) and the ontology defined by an institution, we have proposed to model instituti...
    Francesco Viganò
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    CONNECTION
    2008
    178views more  CONNECTION 2008»
    Spoken language interaction with model uncertainty: an adaptive human-robot interaction system
    13 years 8 months ago
    Spoken language interaction with model uncertainty: an adaptive human-robot interaction system
    Download  people.csail.mit.edu
    Spoken language is one of the most intuitive forms of interaction between humans and agents. Unfortunately, agents that interact with people using natural language often experienc...
    Finale Doshi, Nicholas Roy
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