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    IJSNET
    2007
    155views more  IJSNET 2007»
    Distributed Bayesian fault diagnosis of jump Markov systems in wireless sensor networks
    13 years 7 months ago
    Distributed Bayesian fault diagnosis of jump Markov systems in wireless sensor networks
    Download  www.cedric-richard.fr
    : A Bayesian distributed online change detection algorithm is proposed for monitoring a dynamical system by a wireless sensor network. The proposed solution relies on modelling the...
    Hichem Snoussi, Cédric Richard
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    QUESTA
    2007
    117views more  QUESTA 2007»
    Estimating tail probabilities of heavy tailed distributions with asymptotically zero relative error
    13 years 7 months ago
    Estimating tail probabilities of heavy tailed distributions with asymptotically zero relative error
    Download  www.tcs.tifr.res.in
    Efficient estimation of tail probabilities involving heavy tailed random variables is amongst the most challenging problems in Monte-Carlo simulation. In the last few years, appli...
    Sandeep Juneja
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    CMPB
    2010
    171views more  CMPB 2010»
    Metabolica: A statistical research tool for analyzing metabolic networks
    13 years 2 months ago
    Metabolica: A statistical research tool for analyzing metabolic networks
    Download  filer.case.edu
    Steady state flux balance analysis (FBA) for cellular metabolism is used, e.g., to seek information on the activity of the different pathways under equilibrium conditions, or as a...
    Jenni Heino, Daniela Calvetti, Erkki Somersalo
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    ICSM
    1998
    IEEE
    99views Software Engineering» more  ICSM 1998»
    Identification of Data Cohesive Subsystems Using Data Mining Techniques
    14 years 3 days ago
    Identification of Data Cohesive Subsystems Using Data Mining Techniques
    Download  www.cse.yorku.ca
    The activity of reengineering and maintaining large legacy systems involves the use of design recovery es to produce abstractions that facilitate the understanding of the system. ...
    Carlos Montes de Oca, Doris L. Carver
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    AAAI
    2010
    382views Intelligent Agents» more  AAAI 2010»
    Unsupervised Learning of Event Classes from Video
    13 years 9 months ago
    Unsupervised Learning of Event Classes from Video
    Download  www.comp.leeds.ac.uk
    We present a method for unsupervised learning of event classes from videos in which multiple actions might occur simultaneously. It is assumed that all such activities are produce...
    Muralikrishna Sridhar, Anthony G. Cohn, David C. H...
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