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    ACL
    2008
    136views Computational Linguistics» more  ACL 2008»
    Mixture Model POMDPs for Efficient Handling of Uncertainty in Dialogue Management
    14 years 11 months ago
    Mixture Model POMDPs for Efficient Handling of Uncertainty in Dialogue Management
    Download  www.classic-project.org
    In spoken dialogue systems, Partially Observable Markov Decision Processes (POMDPs) provide a formal framework for making dialogue management decisions under uncertainty, but effi...
    James Henderson, Oliver Lemon
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    SIGIR
    2006
    ACM
    98views Information Technology» more  SIGIR 2006»
    Regularized estimation of mixture models for robust pseudo-relevance feedback
    15 years 3 months ago
    Regularized estimation of mixture models for robust pseudo-relevance feedback
    Download  sifaka.cs.uiuc.edu
    Pseudo-relevance feedback has proven to be an effective strategy for improving retrieval accuracy in all retrieval models. However the performance of existing pseudo feedback meth...
    Tao Tao, ChengXiang Zhai
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    KDD
    2007
    ACM
    237views Data Mining» more  KDD 2007»
    Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior
    15 years 10 months ago
    Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior
    Download  www.r.dl.itc.u-tokyo.ac.jp
    Documents, such as those seen on Wikipedia and Folksonomy, have tended to be assigned with multiple topics as a meta-data. Therefore, it is more and more important to analyze a re...
    Issei Sato, Hiroshi Nakagawa
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    ICPR
    2006
    IEEE
    239views computer vision» more  ICPR 2006»
    Wavelet denoising of multicomponent images, using a Gaussian Scale Mixture model
    15 years 11 months ago
    Wavelet denoising of multicomponent images, using a Gaussian Scale Mixture model
    Download  webh01.ua.ac.be
    In this paper, denoising on multicomponent images is performed. The presented procedure is a spatial waveletbased denoising techniques, based on Bayesian leastsquares optimization...
    Paul Scheunders, Steve De Backer
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    JMLR
    2010
    118views more  JMLR 2010»
    Dirichlet Process Mixtures of Generalized Linear Models
    14 years 4 months ago
    Dirichlet Process Mixtures of Generalized Linear Models
    Download  jmlr.csail.mit.edu
    We propose Dirichlet Process mixtures of Generalized Linear Models (DP-GLMs), a new method of nonparametric regression that accommodates continuous and categorical inputs, models ...
    Lauren Hannah, David M. Blei, Warren B. Powell
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