| Inductive Learning |
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| 作者姓名： | Wu Xindong |
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| 作者单位： | DepartmentofArtificialIntelligence.UniversityofEdinburgh,80SouthBrige,EdinburghEH11HN,UK |
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| 摘 要： | Machine learning(ML)is a major subfield of artificial intelligence(AI).It has been seen as a feasible way of avoiding the knowledge bottleneck problem in knowledge-based systems development.Research on ML has concentrated in the main on inductive learning,a paradigm for inducing rules from unordered sets of exmaples.AQ11 and ID3,the two most widespred algorithms in ML,are both inductive.This paper first summarizes AQ11,ID3 and the newly-developed extension matrix approach based HCV algorithm;and then reviews the recent development of inductive learing and automatic knowledge acquisition from data bases.
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| 关 键 词： | 机器学习 人工智能 归纳学习 |
Inductive learning |
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| Wu Xindong.Inductive Learning[J].Journal of Computer Science and Technology,1993,8(2):22-36. |
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| Authors: | Wu Xindong |
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| Affiliation: | Department; Artificial; Intelligence; University; Edinburgh; South; Bridge; |
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| Abstract: | Machine learning(ML)is a major subfield of artificial intelligence(AI).It has been seen as a feasi- ble way of avoiding the knowledge bottleneck problem in knowledge-based systems development.Re- search on ML has concentrated in the main on inductive learning,a paradigm for inducing rules from unordered sets of exmaples.AQ11 and ID3,the two most widespread algorithms in ML,are both induc- tive.This paper first summarizes AQ11,ID3 and the newly-developed extension matrix approach based HCV algorithm;and then reviews the recent development of inductive learing and automatic knowledge acquisition from data bases. |
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| Keywords: | Generalization-specialization decision trees extension matrixes machine learning data bases |
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