ENGLISH

Computational Models of Learning

By Leonard Bolc (eds.) , Ryszard S. Michalski (auth.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
1987
ISBN
978-3-642-82744-0, 978-3-642-82742-6
DOI
10.1007/978-3-642-82742-6
Language
english
Format
PDF
Filesize
8 MB (8547661 bytes)
Series
Symbolic Computation
Edition
1
Pages
208\213
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Artificial Intelligence (incl. Robotics)

Description

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.

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