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    CSSC
    2010
    95views more  CSSC 2010»
    An EM and a Stochastic Version of the EM Algorithm for Nonparametric Hidden Semi-Markov Models
    13 years 3 months ago
    An EM and a Stochastic Version of the EM Algorithm for Nonparametric Hidden Semi-Markov Models
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    Sonia Malefaki, Samis Trevezas, Nikolaos Limnios
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    ICML
    1999
    IEEE
    163views Machine Learning» more  ICML 1999»
    Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
    14 years 5 months ago
    Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
    Download  www.ri.cmu.edu
    We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
    Sebastian Thrun, John Langford, Dieter Fox
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    IJIT
    2004
    216views Artificial Intelligence» more  IJIT 2004»
    An Evaluation of Algorithms for Single-Echo Biosonar Target Classification
    13 years 6 months ago
    An Evaluation of Algorithms for Single-Echo Biosonar Target Classification
    Download  www.waset.org
    A recent neuro-spiking coding scheme for feature extraction from biosonar echoes of various plants is examined with a variety of stochastic classifiers. Feature vectors derived are...
    Turgay Temel, John Hallam
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    NIPS
    1998
    156views Information Technology» more  NIPS 1998»
    Learning Nonlinear Dynamical Systems Using an EM Algorithm
    13 years 6 months ago
    Learning Nonlinear Dynamical Systems Using an EM Algorithm
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    The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
    Zoubin Ghahramani, Sam T. Roweis
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    ICIP
    2004
    IEEE
    148views Image Processing» more  ICIP 2004»
    Estimation of mixtures of probabilistic pca with stochastic em for the 3d biplanar reconstruction of scoliotic rib cage
    14 years 6 months ago
    Estimation of mixtures of probabilistic pca with stochastic em for the 3d biplanar reconstruction of scoliotic rib cage
    Download  www.iro.umontreal.ca
    In this paper, we present a robust method for estimating the model parameters in a mixture of probabilistic principal component analyzers. This method is based on the Stochastic v...
    François Destrempes, Jacques A. de Guise, M...
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