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    BMCBI
    2008
    97views more  BMCBI 2008»
    SiteSeek: Post-translational modification analysis using adaptive locality-effective kernel methods and new profiles
    14 years 9 months ago
    SiteSeek: Post-translational modification analysis using adaptive locality-effective kernel methods and new profiles
    Download  www.biomedcentral.com
    Background: Post-translational modifications have a substantial influence on the structure and functions of protein. Post-translational phosphorylation is one of the most common m...
    Paul D. Yoo, Yung Shwen Ho, Bing Bing Zhou, Albert...
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    CVIU
    2008
    126views more  CVIU 2008»
    Optimising dynamic graphical models for video content analysis
    14 years 9 months ago
    Optimising dynamic graphical models for video content analysis
    Download  www.eecs.qmul.ac.uk
    A key problem in video content analysis using dynamic graphical models is to learn a suitable model structure given some observed visual data. We propose a Completed Likelihood AI...
    Tao Xiang, Shaogang Gong
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    AICOM
    2006
    129views more  AICOM 2006»
    A backjumping technique for Disjunctive Logic Programming
    14 years 9 months ago
    A backjumping technique for Disjunctive Logic Programming
    Download  sunsite.informatik.rwth-aachen.de
    In this work we present a backjumping technique for Disjunctive Logic Programming (DLP) under the Answer Set Semantics. It builds upon related techniques that had originally been p...
    Francesco Ricca, Wolfgang Faber, Nicola Leone
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    EXPERT
    2008
    120views more  EXPERT 2008»
    The CKC Challenge: Exploring Tools for Collaborative Knowledge Construction
    14 years 9 months ago
    The CKC Challenge: Exploring Tools for Collaborative Knowledge Construction
    Download  bmir.stanford.edu
    The great success of Web 2.0 is mainly fuelled by an infrastructure that allows web users to create, share, tag, and connect content and knowledge easily. The tools for developing...
    Natalya Fridman Noy, Abhita Chugh, Harith Alani
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    MICCAI
    2010
    Springer
    180views Medical Imaging» more  MICCAI 2010»
    Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
    14 years 8 months ago
    Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
    Download  parietal.saclay.inria.fr
    The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
    Vincent Michel, Evelyn Eger, Christine Keribin, Be...
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