Presentation | 1998/7/24 The Starting Member Decision Problem of Baseball by Learning from Instances Yozo Yamaguchi, Nobuo Inui, Takashi Nose, Bipin Indurkhya, Yoshiyuki Kotani, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Research work dealing with knowledge acquisition as well as learning from large databases has been popular nowadays. This paper proposes a practical baseball manager expert system to select the starting members by learning from instances. The system calculates the estimation of defense, batting and running abilities and finally selects appropriate mambers for each game. We then defined each member's expected activity value called the degree of achievement. By using the multiple regression function of statistical analysis, we tested the degree of achievement on our baseball simulator. The result concluded that the baseball manager by this method recorded 57% of winning against a baseball manager system which randomly selects the starting members. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | expert system / baseball / learning |
Paper # | OFS98-12,AI98-21 |
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Conference Information | |
Committee | AI |
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Conference Date | 1998/7/24(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) | The Starting Member Decision Problem of Baseball by Learning from Instances |
Sub Title (in English) | |
Keyword(1) | expert system |
Keyword(2) | baseball |
Keyword(3) | learning |
1st Author's Name | Yozo Yamaguchi |
1st Author's Affiliation | Department of Computer Science, Graduate School of Technology, Tokyo University of Agriculture and Technology() |
2nd Author's Name | Nobuo Inui |
2nd Author's Affiliation | Department of Information and Communication, Faculty of Technology, Tokyo university of Agriculture and Technology |
3rd Author's Name | Takashi Nose |
3rd Author's Affiliation | Department of Information and Communication, Faculty of Technology, Tokyo University of Agriculture and Technology |
4th Author's Name | Bipin Indurkhya |
4th Author's Affiliation | Department of Information and Communication, Faculty of Technology, Tokyo University of Agriculture and Technology |
5th Author's Name | Yoshiyuki Kotani |
5th Author's Affiliation | Department of Information and Communication, Faculty of Technology, Tokyo University of Agriculture and Technology |
Date | 1998/7/24 |
Paper # | OFS98-12,AI98-21 |
Volume (vol) | vol.98 |
Number (no) | 202 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |