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Paper Abstract and Keywords
Presentation 2005-02-25 13:45
[Special Talk] Kernel Methods for Analyzing Structured-data
Hisashi Kashima (IBM Research)
Abstract (in Japanese) (See Japanese page) 
(in English) We introduce kernel-based approaches for analyzing structured data
such as sequences, trees, and graphs.
Especially,
we introduce the idea of the convolution kernel
that is a general framework for designing kernels for structured data,
and give some examples of such kernels.
Moreover, we introduce the structure mapping problem
that is a generalized problem of the supervised classification problem,
and kernel-based approaches for the problem.
Keyword (in Japanese) (See Japanese page) 
(in English) Kernel Methods / Convolution Kernels / Marginalized Kernels / Graph Kernel / Structured Output / Hidden Markov Perceptron / Support Vector Machine /  
Reference Info. IEICE Tech. Rep., vol. 104, no. 670, PRMU2004-208, pp. 61-66, Feb. 2005.
Paper # PRMU2004-208 
Date of Issue 2005-02-18 (NLC, PRMU) 
ISSN Print edition: ISSN 0913-5685
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Conference Information
Committee PRMU NLC  
Conference Date 2005-02-24 - 2005-02-25 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2005-02-PRMU-NLC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Kernel Methods for Analyzing Structured-data 
Sub Title (in English)  
Keyword(1) Kernel Methods  
Keyword(2) Convolution Kernels  
Keyword(3) Marginalized Kernels  
Keyword(4) Graph Kernel  
Keyword(5) Structured Output  
Keyword(6) Hidden Markov Perceptron  
Keyword(7) Support Vector Machine  
Keyword(8)  
1st Author's Name Hisashi Kashima  
1st Author's Affiliation IBM Research (IBM Research)
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Speaker Author-1 
Date Time 2005-02-25 13:45:00 
Presentation Time 45 minutes 
Registration for PRMU 
Paper # NLC2004-126, PRMU2004-208 
Volume (vol) vol.104 
Number (no) no.668(NLC), no.670(PRMU) 
Page pp.61-66 
#Pages
Date of Issue 2005-02-18 (NLC, PRMU) 


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