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    IJACTAICIT
    2010
    213views more  IJACTAICIT 2010»
    Classification of Cardiac Arrhythmias using Biorthogonal Wavelets and Support Vector Machines
    13 years 2 months ago
    Classification of Cardiac Arrhythmias using Biorthogonal Wavelets and Support Vector Machines
    Download  www.aicit.org
    The classification of Electrocardiogram (ECG) is critical for diagnosis and treatment of patients with heart disorders. We present a technique for automatic the detection and clas...
    Berdakh Abibullaev, Won-Seok Kang, Seung-Hyun Lee,...
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    AAAI
    2008
    154views Intelligent Agents» more  AAAI 2008»
    In-the-Dark Network Traffic Classification Using Support Vector Machines
    13 years 7 months ago
    In-the-Dark Network Traffic Classification Using Support Vector Machines
    Download  www.cs.wfu.edu
    This work addresses the problem of in-the-dark traffic classification for TCP sessions, an important problem in network management. An innovative use of support vector machines (S...
    William H. Turkett Jr., Andrew V. Karode, Errin W....
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    SAC
    2009
    ACM
    186views Applied Computing» more  SAC 2009»
    Music retrieval based on a multi-samples selection strategy for support vector machine active learning
    14 years 10 days ago
    Music retrieval based on a multi-samples selection strategy for support vector machine active learning
    Download  mtg.upf.edu
    In active learning based music retrieval systems, providing multiple samples to the user for feedback is very necessary. In this paper, we present a new multi-samples selection st...
    Tian-Jiang Wang, Gang Chen, Perfecto Herrera
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    ACL
    2009
    166views Computational Linguistics» more  ACL 2009»
    A Novel Discourse Parser Based on Support Vector Machine Classification
    13 years 3 months ago
    A Novel Discourse Parser Based on Support Vector Machine Classification
    Download  www.aclweb.org
    This paper introduces a new algorithm to parse discourse within the framework of Rhetorical Structure Theory (RST). Our method is based on recent advances in the field of statisti...
    David duVerle, Helmut Prendinger
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    BMCBI
    2010
    151views more  BMCBI 2010»
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    13 years 5 months ago
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    Download  www.biomedcentral.com
    Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
    Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou
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