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    BIBE
    2003
    IEEE
    124views Bioinformatics» more  BIBE 2003»
    Prediction of Contact Maps Using Support Vector Machines
    14 years 1 months ago
    Prediction of Contact Maps Using Support Vector Machines
    Download  glaros.dtc.umn.edu
    Contact map prediction is of great interest for its application in fold recognition and protein 3D structure determination. In this paper we present a contact-map prediction algor...
    Ying Zhao, George Karypis
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    CCCG
    2008
    122views Computational Geometry» more  CCCG 2008»
    The Solution Path of the Slab Support Vector Machine
    13 years 9 months ago
    The Solution Path of the Slab Support Vector Machine
    Download  cccg.ca
    Given a set of points in a Hilbert space that can be separated from the origin. The slab support vector machine (slab SVM) is an optimization problem that aims at finding a slab (...
    Joachim Giesen, Madhusudan Manjunath, Michael Eige...
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    ACIVS
    2005
    Springer
    203views Computer Vision» more  ACIVS 2005»
    Gender Classification in Human Gait Using Support Vector Machine
    14 years 1 months ago
    Gender Classification in Human Gait Using Support Vector Machine
    Download  eprints.ecs.soton.ac.uk
    We describe an automated system that classifies gender by utilising a set of human gait data. The gender classification system consists of three stages: i) detection and extraction...
    Jang-Hee Yoo, Doosung Hwang, Mark S. Nixon
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    BMCBI
    2008
    134views more  BMCBI 2008»
    Prediction of protein-protein binding site by using core interface residue and support vector machine
    13 years 7 months ago
    Prediction of protein-protein binding site by using core interface residue and support vector machine
    Download  www.biomedcentral.com
    Background: The prediction of protein-protein binding site can provide structural annotation to the protein interaction data from proteomics studies. This is very important for th...
    Nan Li, Zhonghua Sun, Fan Jiang
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    ICANN
    2007
    Springer
    129views Neural Networks» more  ICANN 2007»
    Sparse Least Squares Support Vector Regressors Trained in the Reduced Empirical Feature Space
    14 years 1 months ago
    Sparse Least Squares Support Vector Regressors Trained in the Reduced Empirical Feature Space
    Download  www.lib.kobe-u.ac.jp
    Abstract. In this paper we discuss sparse least squares support vector regressors (sparse LS SVRs) defined in the reduced empirical feature space, which is a subspace of mapped tr...
    Shigeo Abe, Kenta Onishi
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