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    ICDM
    2009
    IEEE
    162views Data Mining» more  ICDM 2009»
    Towards a Universal Text Classifier: Transfer Learning Using Encyclopedic Knowledge
    13 years 5 months ago
    Towards a Universal Text Classifier: Transfer Learning Using Encyclopedic Knowledge
    Download  cs.gmu.edu
    Document classification is a key task for many text mining applications. However, traditional text classification requires labeled data to construct reliable and accurate classifie...
    Pu Wang, Carlotta Domeniconi
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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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    DRR
    2009
    111views Document Analysis» more  DRR 2009»
    Using synthetic data safely in classification
    13 years 5 months ago
    Using synthetic data safely in classification
    Download  www.lehigh.edu
    When is it safe to use synthetic data in supervised classification? Trainable classifier technologies require large representative training sets consisting of samples labeled with...
    Jean Nonnemaker, Henry Baird
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    KDD
    2003
    ACM
    180views Data Mining» more  KDD 2003»
    Classifying large data sets using SVMs with hierarchical clusters
    14 years 8 months ago
    Classifying large data sets using SVMs with hierarchical clusters
    Download  vorlon.case.edu
    Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
    Hwanjo Yu, Jiong Yang, Jiawei Han
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    BIB
    2011
    253views Artificial Intelligence» more  BIB 2011»
    Using cross-validation to evaluate predictive accuracy of survival risk classifiers based on high-dimensional data
    12 years 11 months ago
    Using cross-validation to evaluate predictive accuracy of survival risk classifiers based on high-dimensional data
    Download  linus.nci.nih.gov
    Developments in whole genome biotechnology have stimulated statistical focus on prediction methods. We review here methodology for classifying patients into survival risk groups a...
    Richard M. Simon, Jyothi Subramanian, Ming-Chung L...
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