A Message Entropy Method of Learning from Examples

1997哈尔滨工业大学学报：英文版Computer Science被引 0

摘要

Extension matrix（EM）and ID3 are two main algorithms with wide applicationin the field of machine learning,but analysis shows EM may Cause false diagnosis and ID3may cause fail diagnosis.This paper presents a new combination of these two methods toachieve a new method called entropy extension matrix（EEM）and a new concept ofgeneralization association ability（GAA）.Results show that this algorithm has propertiesbetter than those of EM and ID3.

引用本文（GB/T 7714）

刘占生, 武新华, 夏松波. A Message Entropy Method of Learning from Examples[J]. 哈尔滨工业大学学报：英文版, 1997.

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