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    ICML
    2007
    IEEE
    157views Machine Learning» more  ICML 2007»
    Learning a meta-level prior for feature relevance from multiple related tasks
    14 years 9 months ago
    Learning a meta-level prior for feature relevance from multiple related tasks
    Download  www.machinelearning.org
    In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
    Su-In Lee, Vassil Chatalbashev, David Vickrey, Dap...
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    BMCBI
    2007
    153views more  BMCBI 2007»
    Analysis of nanopore detector measurements using Machine-Learning methods, with application to single-molecule kinetic analysis
    13 years 9 months ago
    Analysis of nanopore detector measurements using Machine-Learning methods, with application to single-molecule kinetic analysis
    Download  www.biomedcentral.com
    Background: A nanopore detector has a nanometer-scale trans-membrane channel across which a potential difference is established, resulting in an ionic current through the channel ...
    Matthew Landry, Stephen Winters-Hilt
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    ML
    2002
    ACM
    220views Machine Learning» more  ML 2002»
    Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
    13 years 8 months ago
    Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
    Download  www.mth.kcl.ac.uk
    I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
    Peter Sollich
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    KDD
    2003
    ACM
    127views Data Mining» more  KDD 2003»
    Experiments with random projections for machine learning
    14 years 9 months ago
    Experiments with random projections for machine learning
    Download  www.stat.rutgers.edu
    Dimensionality reduction via Random Projections has attracted considerable attention in recent years. The approach has interesting theoretical underpinnings and offers computation...
    Dmitriy Fradkin, David Madigan
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    ACL
    2009
    150views Computational Linguistics» more  ACL 2009»
    Learning foci for Question Answering over Topic Maps
    13 years 6 months ago
    Learning foci for Question Answering over Topic Maps
    Download  www.aclweb.org
    This paper introduces the concepts of asking point and expected answer type as variations of the question focus. They are of particular importance for QA over semistructured data,...
    Alexander Mikhailian, Tiphaine Dalmas, Rani Pinchu...
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