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    NIPS
    2008
    210views Information Technology» more  NIPS 2008»
    Non-stationary dynamic Bayesian networks
    13 years 11 months ago
    Non-stationary dynamic Bayesian networks
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    Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
    Joshua W. Robinson, Alexander J. Hartemink
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    SIMUTOOLS
    2008
    211views Communications» more  SIMUTOOLS 2008»
    Simulating SMEPP middleware
    13 years 11 months ago
    Simulating SMEPP middleware
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    Embedded Peer-to-Peer Systems (EP2P) represent a new challenge in the development of software for distributed systems. The main objective of the SMEPP (Secure Middleware for Embed...
    Javier Barbarán, Carlos Bonilla, Jose &Aacu...
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    SWAP
    2008
    180views Internet Technology» more  SWAP 2008»
    A Note on the Evaluation of Inductive Concept Classification Procedures
    13 years 11 months ago
    A Note on the Evaluation of Inductive Concept Classification Procedures
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    Abstract. The limitations of deductive logic-based approaches at deriving operational knowledge from ontologies may be overcome by inductive (instancebased) methods, which are usua...
    Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
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    RSS
    2007
    152views Robotics» more  RSS 2007»
    Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning
    13 years 11 months ago
    Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning
    Download  www.vision.caltech.edu
    Abstract— This paper considers the problem of learning to recognize different terrains from color imagery in a fully automatic fashion, using the robot’s mechanical sensors as ...
    Anelia Angelova, Larry Matthies, Daniel M. Helmick...
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    RSS
    2007
    176views Robotics» more  RSS 2007»
    Active Policy Learning for Robot Planning and Exploration under Uncertainty
    13 years 11 months ago
    Active Policy Learning for Robot Planning and Exploration under Uncertainty
    Download  www.roboticsproceedings.org
    Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
    Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
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