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    ECML
    2005
    Springer
    119views Machine Learning» more  ECML 2005»
    Estimation of Mixture Models Using Co-EM
    14 years 1 months ago
    Estimation of Mixture Models Using Co-EM
    Download  www.cs.uni-potsdam.de
    We study estimation of mixture models for problems in which multiple views of the instances are available. Examples of this setting include clustering web pages or research papers ...
    Steffen Bickel, Tobias Scheffer
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    NIPS
    1998
    117views Information Technology» more  NIPS 1998»
    Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models
    13 years 9 months ago
    Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models
    Download  www.gatsby.ucl.ac.uk
    We present Monte-Carlo generalized EM equations for learning in nonlinear state space models. The dif
    Thomas Briegel, Volker Tresp
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    ACL
    2004
    134views Computational Linguistics» more  ACL 2004»
    Chinese Verb Sense Discrimination Using an EM Clustering Model with Rich Linguistic Features
    13 years 9 months ago
    Chinese Verb Sense Discrimination Using an EM Clustering Model with Rich Linguistic Features
    Download  acl.ldc.upenn.edu
    This paper discusses the application of the Expectation-Maximization (EM) clustering algorithm to the task of Chinese verb sense discrimination. The model utilized rich linguistic...
    Jinying Chen, Martha Stone Palmer
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    NIPS
    2003
    179views Information Technology» more  NIPS 2003»
    Computing Gaussian Mixture Models with EM Using Equivalence Constraints
    13 years 9 months ago
    Computing Gaussian Mixture Models with EM Using Equivalence Constraints
    Download  books.nips.cc
    Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...
    Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daph...
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    ICML
    2008
    IEEE
    171views Machine Learning» more  ICML 2008»
    Modeling interleaved hidden processes
    14 years 8 months ago
    Modeling interleaved hidden processes
    Download  www.informatik.uni-freiburg.de
    Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...
    Niels Landwehr
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