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Can I read Foundations of Knowledge Acquisition: Machine Learning (The Springer International Series in Engineering and Computer Science, 195) on EtoBox?

Foundations of Knowledge Acquisition: Machine Learning (The Springer International Series in Engineering and Computer Science, 195) by Ryszard S. Michalski (auth.), Alan L. Meyrowitz, Susan Chipman (eds.) is a nonfiction available to read on EtoBox.

What is Foundations of Knowledge Acquisition: Machine Learning (The Springer International Series in Engineering and Computer Science, 195) about?

<p><p>the Two Volumes Of Foundations Of Knowledge Acquisition Document The Recent Progress Of Basic Research In Knowledge Acquisition Sponsored By The Office Of Naval Research. This Volume Is Subtitled Machine Learning, And There Is A Companion Volume Subtitled Cognitive Models Of Complex Learning. Funding Was Provided By A Five-year Accelerated Research Initiative (ari), And Made Possible Significant Advances In The Scientific Understanding Of How Machines And Humans Can Acquire New Knowledge So As To Exhibit Improved Problem-solving Behavior. Significant Progress In Machine Learning Is Reported Along A Variety Of Fronts. Chapters In Machine Learning Include Work In Analogical Reasoning; Induction And Discovery; Learning And Planning; Learning By Competition, Using Genetic Algorithms; And Theoretical Limitations. Knowledge Acquisition As Pursued Under The Ari Was A Coordinated Research Thrust Into Both Machine Learning And Human Learning. Chapters In Cognitive Modles Of Complex Learning, Also Published By Kluwer Academic Publishers, Include Summaries Of Work By Cognitive Scientists Who Do Computational Modeling Of Human Learning. In Fact, An Accomplishment Of Research Previously S

Who reads Foundations of Knowledge Acquisition: Machine Learning (The Springer International Series in Engineering and Computer Science, 195)?

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

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

Author
Ryszard S. Michalski (auth.), Alan L. Meyrowitz, Susan Chipman (eds.)
Publisher
Springer International Publishing
Published
1993
Language
EN
ISBN
9780792392774
Category
nonfiction
Subjects
Computer Science, Science, Mathematics

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