Presentation | 2004/1/22 Symbolic and patterned information processing in machine learning system : Focusing on Decision Tree Learning Haruaki Yamazaki, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Many research works related to Artificial Intelligence and knowledge information systems can be classified into two categories: One is the pattern information processing such as a neural network learning and another is the symbolic information processing such as an expert system or a knowledge based system. Few researches related to both are reported so far. Here, We regard that these two information-processing mechanisms are not distinct but are two extreme forms of the same program. Based on this, we discuss the approach to design the intelligent system which integrates patterned and symbolic information processing, focusing on the Decision Tree Learning and report the system implemented. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Decision tree learning / patterned information processing / symbolic information processing / knowledge system / Natural intelligence |
Paper # | AI2003-69 |
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Committee | AI |
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Conference Date | 2004/1/22(1days) |
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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) | Symbolic and patterned information processing in machine learning system : Focusing on Decision Tree Learning |
Sub Title (in English) | |
Keyword(1) | Decision tree learning |
Keyword(2) | patterned information processing |
Keyword(3) | symbolic information processing |
Keyword(4) | knowledge system |
Keyword(5) | Natural intelligence |
1st Author's Name | Haruaki Yamazaki |
1st Author's Affiliation | Faculty of Computer Science, Yamanashi University() |
Date | 2004/1/22 |
Paper # | AI2003-69 |
Volume (vol) | vol.103 |
Number (no) | 623 |
Page | pp.pp.- |
#Pages | 6 |
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