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Symbolic Computation Ser.: Machine Learning : An Artificial Intelligence Approach by J. G. Carbonell (2013, Trade Paperback)

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This renewed interest has spawned many new research projects and resulted in an increase in related scientific activities. As the first available text on this subject, it is intended to fulfill several needs.

About this product

Product Information

The ability to learn is one of the most fundamental attributes of intelligent behavior. Consequently, progress in the theory and computer modeling of learn ing processes is of great significance to fields concerned with understanding in telligence. Such fields include cognitive science, artificial intelligence, infor mation science, pattern recognition, psychology, education, epistemology, philosophy, and related disciplines. The recent observance of the silver anniversary of artificial intelligence has been heralded by a surge of interest in machine learning-both in building models of human learning and in understanding how machines might be endowed with the ability to learn. This renewed interest has spawned many new research projects and resulted in an increase in related scientific activities. In the summer of 1980, the First Machine Learning Workshop was held at Carnegie-Mellon University in Pittsburgh. In the same year, three consecutive issues of the Inter national Journal of Policy Analysis and Information Systems were specially devoted to machine learning (No. 2, 3 and 4, 1980). In the spring of 1981, a special issue of the SIGART Newsletter No. 76 reviewed current research projects in the field. . This book contains tutorial overviews and research papers representative of contemporary trends in the area of machine learning as viewed from an artificial intelligence perspective. As the first available text on this subject, it is intended to fulfill several needs.

Product Identifiers

Publisher
Springer Berlin / Heidelberg
ISBN-10
3662124076
ISBN-13
9783662124079
eBay Product ID (ePID)
175817538

Product Key Features

Author
J. G. Carbonell
Publication Name
Machine Learning : an Artificial Intelligence Approach
Format
Trade Paperback
Language
English
Subject
Intelligence (Ai) & Semantics, Machinery
Publication Year
2013
Series
Symbolic Computation Ser.
Type
Textbook
Subject Area
Computers, Technology & Engineering
Number of Pages
Xi, 572 Pages

Dimensions

Item Length
9.6 in
Item Height
0.5 in
Item Width
6.7 in
Item Weight
35.3 Oz

Additional Product Features

Intended Audience
Scholarly & Professional
Number of Volumes
1 Vol.
Lc Classification Number
Q334-342
Table of Content
One General Issues in Machine Learning.- 1 An Overview of Machine Learning.- 2 Why Should Machines Learn'.- Two Learning from Examples.- 3 A Comparative Review of Selected Methods for Learning from Examples.- 4 A Theory and Methodology of Inductive Learning.- Three Learning in Problem-Solving and Planning.- 5 Learning by Analogy: Formulating and Generalizing Plans from Past Experience.- 6 Learning by Experimentation: Acquiring and Refining Problem-Solving Heuristics.- 7 Acquisition of Proof Skills in Geometry.- 8 Using Proofs and Refutations to Learn from Experience.- Four Learning from Observation and Discovery.- 9 The Role of Heuristics in Learning by Discovery: Three Case Studies.- 10 Rediscovering Chemistry With the BACON System.- 11 Learning From Observation: Conceptual Clustering.- Five Learning from Instruction.- 12 Machine Transformation of Advice into a Heuristic Search Procedure.- 13 Learning by Being Told: Acquiring Knowledge for Information Management.- 14 The Instructible Production System: A Retrospective Analysis.- Six Applied Learning Systems.- 15 Learning Efficient Classification Procedures and their Application to Chess End Games.- 16 Inferring Student Models for Intelligent Computer-Aided Instruction.- Comprehensive Bibliography of Machine Learning.- Glossary of Selected Terms In Machine Learning.- About the Authors.- Author Index.
Copyright Date
1983
Illustrated
Yes

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Picture 1 of 1

Symbolic Computation Ser.: Machine Learning : An Artificial Intelligence Approach by J. G. Carbonell (2013, Trade Paperback)

About this product

Product Information

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

All listings for this product

item 1 Machine Learning: An Artificial Intelligence Approach [Symbolic Computation]

item 2 Machine Learning: An Artificial Intelligence Approach (Symbolic Computation), ,

item 3 Machine Learning: An Artificial Intelligence Approach by R.S. Michalski (English

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