AN INFORMATION—BASED METHOD IBLE FOR LEARNING FROM EXAMPLES
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    Abstract:

    This paper presents a new method IBLE for learning from examples with the concepts of capacity, maximal plausible decode criterion of information theory. The method doesn t depend on the prior probability of class. In the method,the attributes are strongly associated, the knowledge representation is intelligible. We use IBLE in the interpretation of mass spectra, good result is obtained and the average predictive accuracy for eight classes of compounds is 93. 96%. This result is superior to experts.

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钟鸣,陈文伟,张凯慈.一个基于信息论的示例学习方法.软件学报,1993,4(4):56-60

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  • Received:May 01,1991
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