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    EMMCVPR
    2009
    Springer
    208views Computer Vision» more  EMMCVPR 2009»
    Clustering-Based Construction of Hidden Markov Models for Generative Kernels
    14 years 2 months ago
    Clustering-Based Construction of Hidden Markov Models for Generative Kernels
    Download  profs.sci.univr.it
    Generative kernels represent theoretically grounded tools able to increase the capabilities of generative classification through a discriminative setting. Fisher Kernel is the fi...
    Manuele Bicego, Marco Cristani, Vittorio Murino, E...
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    UAI
    2008
    183views Artificial Intelligence» more  UAI 2008»
    Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstraction
    13 years 9 months ago
    Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstraction
    Download  uai2008.cs.helsinki.fi
    Alejandro Isaza, Csaba Szepesvári, Vadim Bu...
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    PSB
    2003
    71views Applied Computing» more  PSB 2003»
    Simultaneous Sequence Alignment and Tree Construction Using Hidden Markov Models
    13 years 9 months ago
    Simultaneous Sequence Alignment and Tree Construction Using Hidden Markov Models
    Download  helix-web.stanford.edu
    Robert C. Edgar, Kimmen Sjölander
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    ACS
    2011
    227views Distributed And Parallel Com...» more  ACS 2011»
    The Compositional Construction of Markov Processes
    13 years 2 months ago
    The Compositional Construction of Markov Processes
    Download  dscpi.uninsubria.it
    We describe an algebra for composing automata in which the actions have probabilities. We illustrate by showing how to calculate the probability of reaching deadlock in k steps in...
    Luisa de Francesco Albasini, Nicoletta Sabadini, R...
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    ECML
    2005
    Springer
    97views Machine Learning» more  ECML 2005»
    Inducing Hidden Markov Models to Model Long-Term Dependencies
    14 years 1 months ago
    Inducing Hidden Markov Models to Model Long-Term Dependencies
    Download  www.info.ucl.ac.be
    We propose in this paper a novel approach to the induction of the structure of Hidden Markov Models. The induced model is seen as a lumped process of a Markov chain. It is construc...
    Jérôme Callut, Pierre Dupont
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