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    » Bayesian Methods for Support Vector Machines: Evidence and P...
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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 4 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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    TR
    2010
    204views Hardware» more  TR 2010»
    Anomaly Detection Through a Bayesian Support Vector Machine
    12 years 11 months ago
    Anomaly Detection Through a Bayesian Support Vector Machine
    Download  www6.cityu.edu.hk
    This paper investigates the use of a one-class support vector machine algorithm to detect the onset of system anomalies, and trend output classification probabilities, as a way to ...
    Vasilis A. Sotiris, Peter W. Tse, Michael Pecht
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    LWA
    2004
    104views Software Engineering» more  LWA 2004»
    A Simple Method For Estimating Conditional Probabilities For SVMs
    13 years 6 months ago
    A Simple Method For Estimating Conditional Probabilities For SVMs
    Download  www.stefan-rueping.de
    Support Vector Machines (SVMs) have become a popular learning algorithm, in particular for large, high-dimensional classification problems. SVMs have been shown to give most accur...
    Stefan Rüping
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    BMCBI
    2006
    106views more  BMCBI 2006»
    Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector
    13 years 4 months ago
    Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector
    Download  www.biomedcentral.com
    Metal-binding proteins play important roles in structural stability, signaling, regulation, transport, immune response, metabolism control, and metal homeostasis. Because of their...
    H. H. Lin, L. Y. Han, H. L. Zhang, C. J. Zheng, B....
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    ARTMED
    2007
    347views more  ARTMED 2007»
    A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature
    13 years 5 months ago
    A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature
    Download  ftp.esat.kuleuven.ac.be
    Objective: This study investigates the use of automated pattern recognition methods on magnetic resonance data with the ultimate goal to assist clinicians in the diagnosis of brai...
    Jan Luts, Arend Heerschap, Johan A. K. Suykens, Sa...
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