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    CCGRID
    2008
    IEEE
    106views Distributed And Parallel Com...» more  CCGRID 2008»
    Using Probabilistic Characterization to Reduce Runtime Faults in HPC Systems
    14 years 12 months ago
    Using Probabilistic Characterization to Reduce Runtime Faults in HPC Systems
    Download  xcr.cenit.latech.edu
    Abstract--The current trend in high performance computing is to aggregate ever larger numbers of processing and interconnection elements in order to achieve desired levels of compu...
    Jim M. Brandt, Bert J. Debusschere, Ann C. Gentile...
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    NIPS
    2001
    142views Information Technology» more  NIPS 2001»
    On the Generalization Ability of On-Line Learning Algorithms
    14 years 11 months ago
    On the Generalization Ability of On-Line Learning Algorithms
    Download  homes.dsi.unimi.it
    In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...
    Nicolò Cesa-Bianchi, Alex Conconi, Claudio ...
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    TIP
    2008
    185views more  TIP 2008»
    Active Learning Methods for Interactive Image Retrieval
    14 years 9 months ago
    Active Learning Methods for Interactive Image Retrieval
    Download  perso-etis.ensea.fr
    Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
    Philippe Henri Gosselin, Matthieu Cord
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    SSPR
    2004
    Springer
    160views Pattern Recognition» more  SSPR 2004»
    An MCMC Feature Selection Technique for Characterizing and Classifying Spatial Region Data
    15 years 3 months ago
    An MCMC Feature Selection Technique for Characterizing and Classifying Spatial Region Data
    Download  blackhole.cis.temple.edu
    We focus on characterizing spatial region data when distinct classes of structural patterns are present. We propose a novel statistical approach based on a supervised framework for...
    Despina Kontos, Vasileios Megalooikonomou, Marc J....
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    ML
    2008
    ACM
    96views Machine Learning» more  ML 2008»
    Discovering significant patterns
    14 years 10 months ago
    Discovering significant patterns
    Download  www.csse.monash.edu.au
    Pattern discovery techniques, such as association rule discovery, explore large search spaces of potential patterns to find those that satisfy some user-specified constraints. Due...
    Geoffrey I. Webb
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