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    BMCBI
    2005
    100views more  BMCBI 2005»
    Evolutionary models for insertions and deletions in a probabilistic modeling framework
    14 years 9 months ago
    Evolutionary models for insertions and deletions in a probabilistic modeling framework
    Download  www.biomedcentral.com
    Background: Probabilistic models for sequence comparison (such as hidden Markov models and pair hidden Markov models for proteins and mRNAs, or their context-free grammar counterp...
    Elena Rivas
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    JAIR
    2006
    138views more  JAIR 2006»
    Logical Hidden Markov Models
    14 years 9 months ago
    Logical Hidden Markov Models
    Download  www.jair.org
    Logical hidden Markov models (LOHMMs) upgrade traditional hidden Markov models to deal with sequences of structured symbols in the form of logical atoms, rather than flat characte...
    Kristian Kersting, Luc De Raedt, Tapani Raiko
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    ICML
    2008
    IEEE
    171views Machine Learning» more  ICML 2008»
    Modeling interleaved hidden processes
    15 years 10 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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    IJCAI
    2003
    117views Artificial Intelligence» more  IJCAI 2003»
    A General Model for Online Probabilistic Plan Recognition
    14 years 11 months ago
    A General Model for Online Probabilistic Plan Recognition
    Download  dli.iiit.ac.in
    We present a new general framework for online istic plan recognition called the Abstract Hidden Markov Memory Model (AHMEM). The l is an extension of the existing Abstract Hidden ...
    Hung Hai Bui
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    FLAIRS
    2006
    127views Artificial Intelligence» more  FLAIRS 2006»
    An Empirical Exploration of Hidden Markov Models: From Spelling Recognition to Speech Recognition
    14 years 11 months ago
    An Empirical Exploration of Hidden Markov Models: From Spelling Recognition to Speech Recognition
    Download  csci.biola.edu
    Hidden Markov models play a critical role in the modelling and problem solving of important AI tasks such as speech recognition and natural language processing. However, the stude...
    Shieu-Hong Lin
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