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    ICDAR
    2009
    IEEE
    219views Document Analysis» more  ICDAR 2009»
    Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
    13 years 7 months ago
    Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
    Download  www.cvc.uab.es
    This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
    Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
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    ISNN
    2004
    Springer
    109views Neural Networks» more  ISNN 2004»
    Fuzzy-Kernel Learning Vector Quantization
    14 years 3 months ago
    Fuzzy-Kernel Learning Vector Quantization
    Download  parnec.nuaa.edu.cn
    This paper presents an unsupervised fuzzy-kernel learning vector quantization algorithm called FKLVQ. FKLVQ is a batch type of clustering learning network by fusing the batch learn...
    Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
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    ISNN
    2007
    Springer
    117views Neural Networks» more  ISNN 2007»
    Extensions of Manifold Learning Algorithms in Kernel Feature Space
    14 years 4 months ago
    Extensions of Manifold Learning Algorithms in Kernel Feature Space
    Download  homepage.fudan.edu.cn
    Manifold learning algorithms have been proven to be capable of discovering some nonlinear structures. However, it is hard for them to extend to test set directly. In this paper, a ...
    Yaoliang Yu, Peng Guan, Liming Zhang
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    ACL
    2006
    140views Computational Linguistics» more  ACL 2006»
    Using String-Kernels for Learning Semantic Parsers
    13 years 11 months ago
    Using String-Kernels for Learning Semantic Parsers
    Download  www.cs.utexas.edu
    We present a new approach for mapping natural language sentences to their formal meaning representations using stringkernel-based classifiers. Our system learns these classifiers ...
    Rohit J. Kate, Raymond J. Mooney
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    JMLR
    2006
    120views more  JMLR 2006»
    Kernel-Based Learning of Hierarchical Multilabel Classification Models
    13 years 10 months ago
    Kernel-Based Learning of Hierarchical Multilabel Classification Models
    Download  jmlr.csail.mit.edu
    We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
    Juho Rousu, Craig Saunders, Sándor Szedm&aa...
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