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    IPM
    2006
    130views more  IPM 2006»
    Exploiting structural information for semi-structured document categorization
    14 years 9 months ago
    Exploiting structural information for semi-structured document categorization
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    This paper examines several different approaches to exploiting structural information in semi-structured document categorization. The methods under consideration are designed for ...
    Andrej Bratko, Bogdan Filipic
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    JMLR
    2006
    123views more  JMLR 2006»
    Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies
    14 years 9 months ago
    Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies
    Download  jmlr.csail.mit.edu
    In this paper, we propose a number of adaptive prototype learning (APL) algorithms. They employ the same algorithmic scheme to determine the number and location of prototypes, but...
    Fu Chang, Chin-Chin Lin, Chi-Jen Lu
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    JMLR
    2006
    107views more  JMLR 2006»
    Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss
    14 years 9 months ago
    Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss
    Download  jmlr.csail.mit.edu
    The consistency of classification algorithm plays a central role in statistical learning theory. A consistent algorithm guarantees us that taking more samples essentially suffices...
    Di-Rong Chen, Tao Sun
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    MMS
    2006
    130views Information Technology» more  MMS 2006»
    Support vector machine active learning for music retrieval
    14 years 9 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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    PR
    2008
    91views more  PR 2008»
    Applying the multi-category learning to multiple video object extraction
    14 years 9 months ago
    Applying the multi-category learning to multiple video object extraction
    Download  www2.ece.ohio-state.edu
    Video object (VO) extraction is of great importance in multimedia processing. In recent years approaches have been proposed to deal with VO extraction as a classification problem....
    Yi Liu, Yuan F. Zheng, Xiaotong Shen
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