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The variable precision rough set inductive logic programming model and strings

机译:可变精度粗糙集归纳逻辑编程模型和字符串

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摘要

The Variable Precision Rough Set Inductive Logic Programming model(VPRSILP model) extends the Variable Precision Rough Set(VPRS) model to Inductive Logic Programming(ILP). The generic Rough Set Inductive Logic Programming(gRS-ILP) model provides a framework for ILP when the Setting is imprecise and any induced logic program will not be a able to distinguish between certain positive An negative examples. The gRS-ILP model is extended in this paper to the VPRSILP model by including Features of the VPRS model. The VPRSILP model is applied to strings and an illustrative experiment On transmembrane domains in amino acid sequences is presented.
机译:可变精度粗糙集归纳逻辑编程模型(VPRSILP模型)将可变精度粗糙集(VPRS)模型扩展为归纳逻辑编程(ILP)。通用的粗糙集归纳逻辑编程(gRS-ILP)模型为设置不精确且任何归纳逻辑程序都无法区分某些正负实例的情况提供了ILP框架。通过包括VPRS模型的功能,本文将gRS-ILP模型扩展到了VPRSILP模型。将VPRSILP模型应用于字符串,并提出了一个关于氨基酸序列中跨膜结构域的说明性实验。

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