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《Chinese Journal of Computers》 2002-08
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An Optimization Learning Algorithm Based on Description Complexity

BU Dong-Bo XU Hong-Bo BAI Shuo(Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080)  
From the view of description complexity, this paper proposes a new optimization learning algorithm. The theory of description complexity considers that the description with the minimum length could reveal the essence of the whole data set. Using the "Rule+Exception" as the description method, the learning problem is transformed into an optimization problem, which look for the description of the minimum length. The experiments show that this algorithm could generate good results.
【Fund】: 国家自然科学基金 ( 6 97730 0 8);; 国家“九七三”重点基础研究发展规划项目 ( G19980 30 5 10 )资助
【CateGory Index】: TP181
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