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Can I read Knowledge Acquisition: Selected Research and Commentary : A Special Issue of Machine Learning on Knowledge Acquisition on EtoBox?

Knowledge Acquisition: Selected Research and Commentary : A Special Issue of Machine Learning on Knowledge Acquisition by Sandra Marcus (auth.), Sandra Marcus (eds.) is a nonfiction available to read on EtoBox.

What is Knowledge Acquisition: Selected Research and Commentary : A Special Issue of Machine Learning on Knowledge Acquisition about?

What follows is a sampler of work in knowledge acquisition. It comprises three technical papers and six guest editorials. The technical papers give an in-depth look at some of the important issues and current approaches in knowledge acquisition. The editorials were pro duced by authors who were basically invited to sound off. I've tried to group and order the contributions somewhat coherently. The following annotations emphasize the connections among the separate pieces. Buchanan's editorial starts on the theme of "Can machine learning offer anything to expert systems?" He emphasizes the practical goals of knowledge acquisition and the challenge of aiming for them. Lenat's editorial briefly describes experience in the development of CYC that straddles both fields. He outlines a two-phase development that relies on an engineering approach early on and aims for a crossover to more automated techniques as the size of the knowledge base increases. Bareiss, Porter, and Murray give the first technical paper. It comes from a laboratory of machine learning researchers who have taken an interest in supporting the development of knowledge bases, with an emphasis on how development changes wi

Who reads Knowledge Acquisition: Selected Research and Commentary : A Special Issue of Machine Learning on Knowledge Acquisition?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Sandra Marcus (auth.), Sandra Marcus (eds.)
Publisher
Springer US
Published
1990
Language
EN
ISBN
9780792390626
Category
nonfiction
Subjects
Science, Engineering, Computer Science

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