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    BMCBI
    2007
    147views more  BMCBI 2007»
    Improved residue contact prediction using support vector machines and a large feature set
    13 years 7 months ago
    Improved residue contact prediction using support vector machines and a large feature set
    Download  www.eecs.ucf.edu
    Background: Predicting protein residue-residue contacts is an important 2D prediction task. It is useful for ab initio structure prediction and understanding protein folding. In s...
    Jianlin Cheng, Pierre Baldi
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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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    BMCBI
    2007
    127views more  BMCBI 2007»
    Predicting the phenotypic effects of non-synonymous single nucleotide polymorphisms based on support vector machines
    13 years 7 months ago
    Predicting the phenotypic effects of non-synonymous single nucleotide polymorphisms based on support vector machines
    Download  www.biomedcentral.com
    Background: Human genetic variations primarily result from single nucleotide polymorphisms (SNPs) that occur approximately every 1000 bases in the overall human population. The no...
    Jian Tian, Ningfeng Wu, Xuexia Guo, Jun Guo, Juhua...
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    COLING
    2002
    132views Computational Linguistics» more  COLING 2002»
    Efficient Support Vector Classifiers for Named Entity Recognition
    13 years 7 months ago
    Efficient Support Vector Classifiers for Named Entity Recognition
    Download  acl.ldc.upenn.edu
    Named Entity (NE) recognition is a task in which proper nouns and numerical information are extracted from documents and are classified into categories such as person, organizatio...
    Hideki Isozaki, Hideto Kazawa
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    IR
    2010
    224views Natural Language Processing» more  IR 2010»
    Sentence-level event classification in unstructured texts
    13 years 4 months ago
    Sentence-level event classification in unstructured texts
    Download  www.csi.ucd.ie
    The ability to correctly classify sentences that describe events is an important task for many natural language applications such as Question Answering (QA) and Text Summarisation....
    Martina Naughton, Nicola Stokes, Joe Carthy
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