Integration of Machine Learning and Knowledge
Acquisition
期刊名称： The Knowledge Engineering Review
初三数学总复习作者： Claire,Nédellec
12岁生日演讲稿>宝马英文缩写年份： 1995年
大学英语四六级官网期号： 第1期
so do i
garbage是什么意思关键词： PREDICATE CALCULUS;CORTEGE ALGEBRA;ARTIFICIAL
redundant
INTELLIGENCE;ORTHOGONAL TRANSFORMATION
多彩多姿摘要："Integration of Machine Learning and Knowledge Acquisition" may be a surprising title for an ECAI-94 workshop, since most machine learning (ML) systems are intended for knowledge acquisition (KA). So what ems problematic about integrating ML and KA? The answer lies in the difference betw
犯罪心理第一季een the approaches developed by what is referred to as ML and KA rearch. Apart from sonic major exceptions, such as learning apprentice tools (Mitchell et al., 1989), or libraries like the Machine Learning Toolbox (MLT Consortium, 1993), most ML algorithms have been described without any characterization in terms of real application needs, in terms of what they could be effectively uful for. Although ML methods have been applied to "real world" problems few general and reusable conclusions have been drawn from the knowledge
promote
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