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    BIOINFORMATICS
    2008
    95views more  BIOINFORMATICS 2008»
    Incorporating sequence information into the scoring function: a hidden Markov model for improved peptide identification
    13 years 9 months ago
    Incorporating sequence information into the scoring function: a hidden Markov model for improved peptide identification
    Download  www.unc.edu
    Jainab Khatun, Eric Hamlett, Morgan C. Giddings
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    ICMLA
    2009
    167views Machine Learning» more  ICMLA 2009»
    Structured Prediction Models for Chord Transcription of Music Audio
    13 years 6 months ago
    Structured Prediction Models for Chord Transcription of Music Audio
    Download  www.cs.columbia.edu
    Chord sequences are a compact and useful description of music, representing each beat or measure in terms of a likely distribution over individual notes without specifying the not...
    Adrian Weller, Daniel P. W. Ellis, Tony Jebara
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    ITCC
    2000
    IEEE
    79views Information Technology» more  ITCC 2000»
    Robust Speech Recognition Using Neural Networks and Hidden Markov Models
    14 years 1 months ago
    Robust Speech Recognition Using Neural Networks and Hidden Markov Models
    Download  viridian.dnsalias.net
    Lin Cong, Saf Asghar, Bin Cong
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    ESANN
    2008
    118views Neural Networks» more  ESANN 2008»
    Word recognition and incremental learning based on neural associative memories and hidden Markov models
    13 years 10 months ago
    Word recognition and incremental learning based on neural associative memories and hidden Markov models
    Download  www.dice.ucl.ac.be
    Abstract. An architecture for achieving word recognition and incremental learning of new words in a language processing system is presented. The architecture is based on neural ass...
    Zöhre Kara Kayikci, Günther Palm
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    IICAI
    2007
    209views Artificial Intelligence» more  IICAI 2007»
    Modeling Temporal Behavior via Structured Hidden Markov Models: an Application to Keystroking Dynamics
    13 years 10 months ago
    Modeling Temporal Behavior via Structured Hidden Markov Models: an Application to Keystroking Dynamics
    Download  www.ugogalassi.net
    Structured Hidden Markov Models (S-HMM) are a variant of Hierarchical Hidden Markov Models; it provides an abstraction mechanism allowing a high level symbolic description of the k...
    Ugo Galassi, Attilio Giordana, Charbel Julien, Lor...
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