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    ICML
    2002
    IEEE
    95views Machine Learning» more  ICML 2002»
    Univariate Polynomial Inference by Monte Carlo Message Length Approximation
    15 years 10 months ago
    Univariate Polynomial Inference by Monte Carlo Message Length Approximation
    Download  www.csse.monash.edu.au
    We apply the Message from Monte Carlo (MMC) algorithm to inference of univariate polynomials. MMC is an algorithm for point estimation from a Bayesian posterior sample. It partiti...
    Leigh J. Fitzgibbon, David L. Dowe, Lloyd Allison
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    ICPP
    2007
    IEEE
    114views Distributed And Parallel Com...» more  ICPP 2007»
    Parallel Algorithms for Bayesian Indoor Positioning Systems
    15 years 4 months ago
    Parallel Algorithms for Bayesian Indoor Positioning Systems
    Download  www.cs.rutgers.edu
    We present two parallel algorithms and their Unified Parallel C implementations for Bayesian indoor positioning systems. Our approaches are founded on Markov Chain Monte Carlo si...
    Konstantinos Kleisouris, Richard P. Martin
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    ICRA
    2005
    IEEE
    150views Robotics» more  ICRA 2005»
    Learning Sensor Network Topology through Monte Carlo Expectation Maximization
    15 years 3 months ago
    Learning Sensor Network Topology through Monte Carlo Expectation Maximization
    Download  www.cim.mcgill.ca
    — We consider the problem of inferring sensor positions and a topological (i.e. qualitative) map of an environment given a set of cameras with non-overlapping fields of view. In...
    Dimitri Marinakis, Gregory Dudek, David J. Fleet
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    BMCBI
    2007
    104views more  BMCBI 2007»
    A response to Yu et al. "A forward-backward fragment assembling algorithm for the identification of genomic amplification and de
    14 years 9 months ago
    A response to Yu et al. "A forward-backward fragment assembling algorithm for the identification of genomic amplification and de
    Download  www.biomedcentral.com
    Background: Yu et al. (BMC Bioinformatics 2007,8: 145+) have recently compared the performance of several methods for the detection of genomic amplification and deletion breakpoin...
    Oscar M. Rueda, Ramón Díaz-Uriarte
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    JMLR
    2006
    143views more  JMLR 2006»
    Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation
    14 years 9 months ago
    Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation
    Download  www.aaai.org
    We study a sequential variance reduction technique for Monte Carlo estimation of functionals in Markov Chains. The method is based on designing sequential control variates using s...
    Rémi Munos
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