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    BIOCOMP
    2006
    233views Bioinformatics» more  BIOCOMP 2006»
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    13 years 11 months ago
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
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    Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
    Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia
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    ICCV
    2007
    IEEE
    145views Computer Vision» more  ICCV 2007»
    Simultaneous Learning of Nonlinear Manifold and Dynamical Models for High-dimensional Time Series
    14 years 11 months ago
    Simultaneous Learning of Nonlinear Manifold and Dynamical Models for High-dimensional Time Series
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    Rui Li, Tai-Peng Tian, Stan Sclaroff
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    ICML
    2003
    IEEE
    113views Machine Learning» more  ICML 2003»
    Robust Induction of Process Models from Time-Series Data
    14 years 10 months ago
    Robust Induction of Process Models from Time-Series Data
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    Pat Langley, Dileep George, Stephen D. Bay, Kazumi...
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    ICPR
    2008
    IEEE
    87views Computer Vision» more  ICPR 2008»
    Large margin AR model for time series classification
    14 years 4 months ago
    Large margin AR model for time series classification
    Download  figment.cse.usf.edu
    B. Venkataramana B. Kini, C. Chandra Sekhar
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    ICANN
    2003
    Springer
    126views Neural Networks» more  ICANN 2003»
    Selecting and Ranking Time Series Models Using the NOEMON Approach
    14 years 2 months ago
    Selecting and Ranking Time Series Models Using the NOEMON Approach
    Download  www.cin.ufpe.br
    Ricardo Bastos Cavalcante Prudêncio, Teresa ...
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