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    BIOINFORMATICS
    2007
    58views more  BIOINFORMATICS 2007»
    Bayesian inference for dynamic transcriptional regulation; the Hes1 system as a case study
    14 years 9 months ago
    Bayesian inference for dynamic transcriptional regulation; the Hes1 system as a case study
    Download  www2.warwick.ac.uk
    Elizabeth A. Heron, Bärbel Finkenstädt, ...
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    TON
    2010
    132views more  TON 2010»
    Efficient and dynamic routing topology inference from end-to-end measurements
    14 years 8 months ago
    Efficient and dynamic routing topology inference from end-to-end measurements
    Download  www.ifp.illinois.edu
    Jian Ni, Haiyong Xie 0002, Sekhar Tatikonda, Yang ...
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    ICCV
    1999
    IEEE
    188views Computer Vision» more  ICCV 1999»
    A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models
    15 years 11 months ago
    A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models
    Download  www.cc.gatech.edu
    The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and synthesizing figure motion has employed eit...
    Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Ke...
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    CISS
    2008
    IEEE
    129views Information Technology» more  CISS 2008»
    Network tomography based on additive metrics
    14 years 11 months ago
    Network tomography based on additive metrics
    Download  www.ifp.illinois.edu
    Inference of the network structure (e.g., routing topology) and dynamics (e.g., traffic matrices, link performance) is an important component in many network design and management ...
    Jian Ni, Sekhar Tatikonda
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    BMCBI
    2007
    172views more  BMCBI 2007»
    Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks
    14 years 9 months ago
    Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks
    Download  www.biomedcentral.com
    Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
    Fulvia Ferrazzi, Paola Sebastiani, Marco Ramoni, R...
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