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    ICCS
    2007
    Springer
    274views Applied Computing» more  ICCS 2007»
    Active Learning with Support Vector Machines for Tornado Prediction
    14 years 1 months ago
    Active Learning with Support Vector Machines for Tornado Prediction
    Download  www.dddas.org
    In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
    Theodore B. Trafalis, Indra Adrianto, Michael B. R...
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    KDD
    2009
    ACM
    156views Data Mining» more  KDD 2009»
    Effective multi-label active learning for text classification
    14 years 8 months ago
    Effective multi-label active learning for text classification
    Download  research.microsoft.com
    Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
    Bishan Yang, Jian-Tao Sun, Tengjiao Wang, Zheng Ch...
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    MMS
    2006
    130views Information Technology» more  MMS 2006»
    Support vector machine active learning for music retrieval
    13 years 7 months ago
    Support vector machine active learning for music retrieval
    Download  www.ee.columbia.edu
    Searching and organizing growing digital music collections requires a computational model of music similarity. This paper describes a system for performing flexible music similarit...
    Michael I. Mandel, Graham E. Poliner, Daniel P. W....
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    BMCBI
    2007
    139views more  BMCBI 2007»
    Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
    13 years 7 months ago
    Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
    Download  www.biomedcentral.com
    Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
    Andrew S. Peek
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    ICPR
    2010
    IEEE
    260views Computer Vision» more  ICPR 2010»
    Exploiting Visual Quasi-Periodicity for Automated Chewing Event Detection Using Active Appearance Models and Support Vector Mach
    14 years 2 months ago
    Exploiting Visual Quasi-Periodicity for Automated Chewing Event Detection Using Active Appearance Models and Support Vector Mach
    Download  www.cadavidconcepts.com
    We present a method that automatically detects chewing events in surveillance video of a subject. Firstly, an Active Appearance Model (AAM) is used to track a subject’s face acr...
    Steven Cadavid, Mohamed Abdel-Mottaleb
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