The Springer International Series in Engineering and Computer Science

Machine Learning

A Guide to Current Research

Editors: Mitchell, Tom M., Carbonell, Jaime G., Michalski, Ryszard S. (Eds.)

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About this book

One of the currently most active research areas within Artificial Intelligence is the field of Machine Learning. which involves the study and development of computational models of learning processes. A major goal of research in this field is to build computers capable of improving their performance with practice and of acquiring knowledge on their own. The intent of this book is to provide a snapshot of this field through a broad. representative set of easily assimilated short papers. As such. this book is intended to complement the two volumes of Machine Learning: An Artificial Intelligence Approach (Morgan-Kaufman Publishers). which provide a smaller number of in-depth research papers. Each of the 77 papers in the present book summarizes a current research effort. and provides references to longer expositions appearing elsewhere. These papers cover a broad range of topics. including research on analogy. conceptual clustering. explanation-based generalization. incremental learning. inductive inference. learning apprentice systems. machine discovery. theoretical models of learning. and applications of machine learning methods. A subject index IS provided to assist in locating research related to specific topics. The majority of these papers were collected from the participants at the Third International Machine Learning Workshop. held June 24-26. 1985 at Skytop Lodge. Skytop. Pennsylvania. While the list of research projects covered is not exhaustive. we believe that it provides a representative sampling of the best ongoing work in the field. and a unique perspective on where the field is and where it is headed.

Table of contents (77 chapters)

Table of contents (77 chapters)

Buy this book

eBook $129.00
price for USA in USD (gross)
  • ISBN 978-1-4613-2279-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $189.00
price for USA in USD
  • ISBN 978-0-89838-214-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $169.99
price for USA in USD
  • ISBN 978-1-4612-9406-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning
Book Subtitle
A Guide to Current Research
Editors
  • Tom M. Mitchell
  • Jaime G. Carbonell
  • Ryszard S. Michalski
Series Title
The Springer International Series in Engineering and Computer Science
Series Volume
12
Copyright
1986
Publisher
Springer US
Copyright Holder
Kluwer Academic Publishers
eBook ISBN
978-1-4613-2279-5
DOI
10.1007/978-1-4613-2279-5
Hardcover ISBN
978-0-89838-214-3
Softcover ISBN
978-1-4612-9406-1
Series ISSN
0893-3405
Edition Number
1
Number of Pages
XVI, 429
Topics