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    CCGRID
    2009
    IEEE
    87views Distributed And Parallel Com...» more  CCGRID 2009»
    A Clinical Grid Infrastructure Supporting Adverse Hypotensive Event Prediction
    15 years 4 months ago
    A Clinical Grid Infrastructure Supporting Adverse Hypotensive Event Prediction
    Download  eprints.gla.ac.uk
    Anthony Stell, Richard O. Sinnott, Jipu Jiang
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    ICPR
    2004
    IEEE
    129views computer vision» more  ICPR 2004»
    Detecting Human Motion with Support Vector Machines
    15 years 11 months ago
    Detecting Human Motion with Support Vector Machines
    Download  www.foi.se
    Hedvig Sidenbladh
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    ECTEL
    2009
    Springer
    120views Machine Learning» more  ECTEL 2009»
    Ontology Enrichment with Social Tags for eLearning
    14 years 7 months ago
    Ontology Enrichment with Social Tags for eLearning
    Download  www.ltfll-project.org
    One of the objectives of this paper is to verify whether it is possible to extract meaningful related tags from a limited set of tagged resources and from resources tagged by only ...
    Paola Monachesi, Thomas Markus, Eelco Mossel
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    ML
    2007
    ACM
    130views Machine Learning» more  ML 2007»
    A note on Platt's probabilistic outputs for support vector machines
    14 years 9 months ago
    A note on Platt's probabilistic outputs for support vector machines
    Download  www.csie.ntu.edu.tw
    Platt’s probabilistic outputs for Support Vector Machines (Platt, 2000) has been popular for applications that require posterior class probabilities. In this note, we propose an ...
    Hsuan-Tien Lin, Chih-Jen Lin, Ruby C. Weng
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    GECCO
    2010
    Springer
    173views Optimization» more  GECCO 2010»
    Superstate identification for state machines using search-based clustering
    14 years 10 months ago
    Superstate identification for state machines using search-based clustering
    Download  www.cs.le.ac.uk
    State machines are a popular method of representing a syshigh level of abstraction that enables developers to gain an overview of the system they represent and quickly understand ...
    Mathew Hall, Phil McMinn, Neil Walkinshaw
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