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    ACL
    2007
    83views Computational Linguistics» more  ACL 2007»
    Support Vector Machines for Query-focused Summarization trained and evaluated on Pyramid data
    13 years 9 months ago
    Support Vector Machines for Query-focused Summarization trained and evaluated on Pyramid data
    Download  courses.washington.edu
    This paper presents the use of Support Vector Machines (SVM) to detect relevant information to be included in a queryfocused summary. Several SVMs are trained using information fr...
    María Fuentes Fort, Enrique Alfonseca, Hora...
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    KDD
    2005
    ACM
    168views Data Mining» more  KDD 2005»
    Nomograms for visualizing support vector machines
    14 years 8 months ago
    Nomograms for visualizing support vector machines
    Download  stat.columbia.edu
    We propose a simple yet potentially very effective way of visualizing trained support vector machines. Nomograms are an established model visualization technique that can graphica...
    Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan B...
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    TMI
    2010
    172views more  TMI 2010»
    Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
    13 years 6 months ago
    Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
    Download  www.loni.ucla.edu
    Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
    Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...
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    ANNPR
    2006
    Springer
    140views Neural Networks» more  ANNPR 2006»
    Incremental Training of Support Vector Machines Using Truncated Hypercones
    13 years 11 months ago
    Incremental Training of Support Vector Machines Using Truncated Hypercones
    Download  www.lib.kobe-u.ac.jp
    We discuss incremental training of support vector machines in which we approximate the regions, where support vector candidates exist, by truncated hypercones. We generate the trun...
    Shinya Katagiri, Shigeo Abe
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    PAKDD
    2005
    ACM
    111views Data Mining» more  PAKDD 2005»
    Training Support Vector Machines Using Greedy Stagewise Algorithm
    14 years 1 months ago
    Training Support Vector Machines Using Greedy Stagewise Algorithm
    Download  ttic.uchicago.edu
    Abstract. Hard margin support vector machines (HM-SVMs) have a risk of getting overfitting in the presence of the noise. Soft margin SVMs deal with this
    Liefeng Bo, Ling Wang, Licheng Jiao
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