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    TASLP
    2002
    56views more  TASLP 2002»
    Quasi-Bayes linear regression for sequential learning of hidden Markov models
    13 years 4 months ago
    Quasi-Bayes linear regression for sequential learning of hidden Markov models
    Download  www.aclweb.org
    Jen-Tzung Chien
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    UAI
    2008
    216views Artificial Intelligence» more  UAI 2008»
    Learning Hidden Markov Models for Regression using Path Aggregation
    13 years 6 months ago
    Learning Hidden Markov Models for Regression using Path Aggregation
    Download  uai2008.cs.helsinki.fi
    We consider the task of learning mappings from sequential data to real-valued responses. We present and evaluate an approach to learning a type of hidden Markov model (HMM) for re...
    Keith Noto, Mark Craven
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    ICML
    2005
    IEEE
    195views Machine Learning» more  ICML 2005»
    Active learning for Hidden Markov Models: objective functions and algorithms
    14 years 5 months ago
    Active learning for Hidden Markov Models: objective functions and algorithms
    Download  www.cs.cmu.edu
    Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
    Brigham Anderson, Andrew Moore
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    INTERSPEECH
    2010
    180views Signal Processing» more  INTERSPEECH 2010»
    Deep-structured hidden conditional random fields for phonetic recognition
    12 years 11 months ago
    Deep-structured hidden conditional random fields for phonetic recognition
    Download  research.microsoft.com
    We extend our earlier work on deep-structured conditional random field (DCRF) and develop deep-structured hidden conditional random field (DHCRF). We investigate the use of this n...
    Dong Yu, Li Deng
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    CIDU
    2010
    137views Machine Learning» more  CIDU 2010»
    Tracking Climate Models
    13 years 2 months ago
    Tracking Climate Models
    Download  www1.ccls.columbia.edu
    Abstract. Climate models are complex mathematical models designed by meteorologists, geophysicists, and climate scientists to simulate and predict climate. Given temperature predic...
    Claire Monteleoni, Gavin Schmidt, Shailesh Saroha
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