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    » Process Algebras for Collective Dynamics
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    SARA
    2007
    Springer
    167views Artificial Intelligence» more  SARA 2007»
    Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
    15 years 5 months ago
    Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
    Download  www-anw.cs.umass.edu
    Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
    Anders Jonsson, Andrew G. Barto
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    ICML
    2008
    IEEE
    118views Machine Learning» more  ICML 2008»
    The dynamic hierarchical Dirichlet process
    16 years 17 days ago
    The dynamic hierarchical Dirichlet process
    Download  people.ee.duke.edu
    The dynamic hierarchical Dirichlet process (dHDP) is developed to model the timeevolving statistical properties of sequential data sets. The data collected at any time point are r...
    Lu Ren, David B. Dunson, Lawrence Carin
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    91
    Voted
    CEC
    2009
    IEEE
    109views Artificial Intelligence» more  CEC 2009»
    Mobile processes, mobile channels and complex dynamic systems
    15 years 6 months ago
    Mobile processes, mobile channels and complex dynamic systems
    Download  www.cosmos-research.org
    — This paper explores a process-oriented approach to complex systems design, using massive fine-grained concurrency, mobile channels and mobile processes. The complex systems st...
    Eric Bonnici, Peter H. Welch
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    JLP
    2006
    138views more  JLP 2006»
    Algebraic-coalgebraic specification in CoCasl
    14 years 11 months ago
    Algebraic-coalgebraic specification in CoCasl
    Download  www.informatik.uni-bremen.de
    We introduce CoCasl as a light-weight but expressive coalgebraic extension of the algebraic specification language Casl. CoCasl allows the nested combination of algebraic datatype...
    Till Mossakowski, Lutz Schröder, Markus Rogge...
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    134
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    CVPR
    2009
    IEEE
    364views Computer Vision» more  CVPR 2009»
    Learning Visual Flows: A Lie Algebraic Approach
    16 years 6 months ago
    Learning Visual Flows: A Lie Algebraic Approach
    Download  projects.csail.mit.edu
    We present a novel method for modeling dynamic visual phenomena, which consists of two key aspects. First, the in- tegral motion of constituent elements in a dynamic scene is ca...
    Dahua Lin, W. Eric L. Grimson, John W. Fisher III
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