Machine Learning: From Theory to Applications: Cooperative Research at Siemens and MIT by Werner Remmele, Ronald L. Rivest, Stephen Jose Hanson (Paperback, 1993)
This volume includes some of the key research papers in thearea of machine learning produced at MIT and Siemens duringa three-year joint research effort. It includes papers onmany different styles of machine learning, organized intothree parts. Part I, theory, includes three papers on theoretical aspectsof machine learning. The first two use the theory ofcomputational complexity to derive some fundamental limitson what isefficiently learnable. The third provides anefficient algorithm for identifying finite automata. Part II, artificial intelligence and symbolic learningmethods, includes five papers giving an overview of thestate of the art and future developments in the field ofmachine learning, a subfield of artificial intelligencedealing with automated knowledge acquisition and knowledgerevision. Part III, neural and collective computation, includes fivepapers sampling the theoretical diversity and trends in thevigorous new research field of neural networks: massivelyparallel symbolic induction, task decomposition throughcompetition, phoneme discrimination, behavior-basedlearning, and self-repairing neural networks.
Product Identifiers
Publisher
Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
ISBN-13
9783540564836
eBay Product ID (ePID)
94692554
Product Key Features
Author
Werner Remmele, Ronald L. Rivest, Stephen Jose Hanson
Publication Name
Machine Learning: from Theory to Applications: Cooperative Research at Siemens and Mit
Format
Paperback
Language
English
Subject
Computer Science
Publication Year
1993
Type
Textbook
Number of Pages
276 Pages
Dimensions
Item Height
233mm
Item Width
155mm
Volume
661
Item Weight
910g
Additional Product Features
Series Title
Lecture Notes in Computer Science
Editor
Stephen Jose Hanson, Werner Remmele, Ronald L. Rivest
Country/Region of Manufacture
Germany
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