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    ICC
    2009
    IEEE
    123views Communications» more  ICC 2009»
    Combining Hidden Markov Models for Improved Anomaly Detection
    14 years 2 months ago
    Combining Hidden Markov Models for Improved Anomaly Detection
    Download  www.livia.etsmtl.ca
    —In host-based intrusion detection systems (HIDS), anomaly detection involves monitoring for significant deviations from normal system behavior. Hidden Markov Models (HMMs) have...
    Wael Khreich, Eric Granger, Robert Sabourin, Ali M...
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    BMCBI
    2006
    119views more  BMCBI 2006»
    Hidden Markov Model Variants and their Application
    13 years 7 months ago
    Hidden Markov Model Variants and their Application
    Download  www.cs.uno.edu
    Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
    Stephen Winters-Hilt
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    EDM
    2010
    160views Data Mining» more  EDM 2010»
    Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System
    13 years 9 months ago
    Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System
    Download  educationaldatamining.org
    Functional magnetic resonance imaging (fMRI) data were collected while students worked with a tutoring system that taught an algebra isomorph. A cognitive model predicted the distr...
    Jon M. Fincham, John R. Anderson, Shawn Betts, Jen...
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    BMCBI
    2004
    177views more  BMCBI 2004»
    Gapped alignment of protein sequence motifs through Monte Carlo optimization of a hidden Markov model
    13 years 7 months ago
    Gapped alignment of protein sequence motifs through Monte Carlo optimization of a hidden Markov model
    Download  www.biomedcentral.com
    Background: Certain protein families are highly conserved across distantly related organisms and belong to large and functionally diverse superfamilies. The patterns of conservati...
    Andrew F. Neuwald, Jun S. Liu
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    BMCBI
    2005
    87views more  BMCBI 2005»
    Efficient decoding algorithms for generalized hidden Markov model gene finders
    13 years 7 months ago
    Efficient decoding algorithms for generalized hidden Markov model gene finders
    Download  www.biomedcentral.com
    Background: The Generalized Hidden Markov Model (GHMM) has proven a useful framework for the task of computational gene prediction in eukaryotic genomes, due to its flexibility an...
    William H. Majoros, Mihaela Pertea, Arthur L. Delc...
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