Presentation | 1996/1/18 A Revision Learner for Expert-Knowledge and Real Examples Shigeo KANEDA, Hussein ALMUALLIM, Megumi ISHII, Yasuhiro AKIBA, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We present a method for learning classification functions from pre-classified examples and a preliminary knowledge provided by experts. The goal is to produce a classification function that has higher accuracy than either the expert knowledge or the classification function inductively learned from the training examples alone. The key idea in our proposed approach is to let the expert knowledge influence the score computations during the process of learning inductively from the training sample. Experimental results are presented demonstrating the power of our approach in a variety of domains. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Machine Learning / Knowledge Acquisition / Expert System |
Paper # | AI95-44 |
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Conference Information | |
Committee | AI |
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Conference Date | 1996/1/18(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Revision Learner for Expert-Knowledge and Real Examples |
Sub Title (in English) | |
Keyword(1) | Machine Learning |
Keyword(2) | Knowledge Acquisition |
Keyword(3) | Expert System |
1st Author's Name | Shigeo KANEDA |
1st Author's Affiliation | NTT Communication Science Labs() |
2nd Author's Name | Hussein ALMUALLIM |
2nd Author's Affiliation | King Fahd University of Petroleum and Minerals |
3rd Author's Name | Megumi ISHII |
3rd Author's Affiliation | NTT Communication Science Labs |
4th Author's Name | Yasuhiro AKIBA |
4th Author's Affiliation | NTT Communication Science Labs |
Date | 1996/1/18 |
Paper # | AI95-44 |
Volume (vol) | vol.95 |
Number (no) | 460 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |