| Presentation | 2005-02-25 Kernel Methods for Analyzing Structured Data Hisashi KASHIMA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | Kernel Methods / Convolution Kernels / Marginalized Kernels / Graph Kernels / Structure Mapping / Hidden Markov Perceptron |
| Paper # | NLC2004-126,PRMU2004-208 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2005/2/18(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Natural Language Understanding and Models of Communication (NLC) |
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| Language | JPN |
| 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 Kernels |
| Keyword(5) | Structure Mapping |
| Keyword(6) | Hidden Markov Perceptron |
| 1st Author's Name | Hisashi KASHIMA |
| 1st Author's Affiliation | IBM Tokyo Research Laboratory() |
| Date | 2005-02-25 |
| Paper # | NLC2004-126,PRMU2004-208 |
| Volume (vol) | vol.104 |
| Number (no) | 668 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |