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Can I read Computational Models Of Learning (symbolic Computation) on EtoBox?
Computational Models Of Learning (symbolic Computation) by Ryszard S. Michalski (auth.), Leonard Bolc (eds.) is a nonfiction available to read on EtoBox.
What is Computational Models Of Learning (symbolic Computation) about?
In recent years, machine learning has emerged as a significant area of research in artificial intelligence and cognitive science. At present, research in the field is being intensified from both the point of view of theory and of implementation, and the results are being introduced in practice. Machine learning has recently become the subject of interest of many young and talented scientists whose bold ideas have greatly contributed to the broadening of knowledge in this rapidly developing field of science. This situation has manifested itself in an increasing number of valuable contributions to scientific journals. However, such papers are necessarily compact descriptions of research problems. __Computational Models of Learning__ supplements these contributions and is a collection of more extensive essays. These essays provide the reader with an increased knowledge of carefully selected problems of machine learning.
Who reads Computational Models Of Learning (symbolic Computation)?
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.), Leonard Bolc (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Published
- 1987
- Language
- EN
- ISBN
- 9783642827440
- Category
- nonfiction
- Subjects
- Science, Computer Science, Stem
Other editions & translations
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