Presentation | 2005/3/23 Incremental learning and forgetting using Sensitivity in SVM Takeshi ASADA, Hirotaka NAKAYAMA, Tetsuzo TANINO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recently, support vector machine (SVM) is one of the hot topics in the field of pattern recognition. There are some studies to apply SVM to incremental and decremental learning. Chunking method is one of the incremental learning model to improve computational time. Conventional chunking method sometimes obtains low generalization. In order to overcome this problem, in this paper, chunking method model considering sensitivity is proposed. By the way, forgetting requires to reduce the influence of the data. Active forgetting, in particular, requires to reduce the influence of obstacle data. In this paper, to select obstacle data, active forgetting model considering sensitivity is proposed. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Support vector machines / Sensitivity / Incremental learning / Chunking method / Convex hull / Forgetting |
Paper # | NC2004-222 |
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Committee | NC |
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Conference Date | 2005/3/23(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Incremental learning and forgetting using Sensitivity in SVM |
Sub Title (in English) | |
Keyword(1) | Support vector machines |
Keyword(2) | Sensitivity |
Keyword(3) | Incremental learning |
Keyword(4) | Chunking method |
Keyword(5) | Convex hull |
Keyword(6) | Forgetting |
1st Author's Name | Takeshi ASADA |
1st Author's Affiliation | Graduate School of Engineering, Osaka University() |
2nd Author's Name | Hirotaka NAKAYAMA |
2nd Author's Affiliation | Department of Information Science and Systems Engineering, Konan University |
3rd Author's Name | Tetsuzo TANINO |
3rd Author's Affiliation | Graduate School of Engineering, Osaka University |
Date | 2005/3/23 |
Paper # | NC2004-222 |
Volume (vol) | vol.104 |
Number (no) | 760 |
Page | pp.pp.- |
#Pages | 6 |
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