RSILP模型若干问题的研究

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Some Questions on RSILP Models

SUN Chengmin, LIU Dayou, SUN Shuyang

College of Computer Science and Technology, Jilin University, Changchun 130012, China; Key Laboratory ofSymbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China

Received:2006-06-15 Revised:1900-01-01 Online:2007-03-26 Published:2007-03-26
Contact: SUN Chengmin

Abstract

Abstract: The uncertainty and vagueness, which can not be dealt with independently via the Inductive Logic Programming (ILP) in Statistical Relat ional Learning, was resolved by means of the Statistical Relational Learning (SRL) method based on Rough Set (RS) theory. And the models combined with RS and ILP were perfected and improved. Such work, which further perfects these models and makes them more rational.

Key words: statistical relational learning, rough set, inductive logic programming, RSILP model, VPRSILP model

CLC Number:

TP18

SUN Chengmin, LIU Dayou, SUN Shuyang. Some Questions on RSILP Models[J].J4, 2007, 45(02): 239-243.

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Some Questions on RSILP Models

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