MARC details
| 000 -LEADER |
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| fixed length control field |
03942nam a2200349 i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
983937 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20211213124110.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
740719s1975 nyua b 00110 engm |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
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| LC control number |
74001626 //r78 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
0123623405 |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
DLC |
| Transcribing agency |
DLC |
| Modifying agency |
CWR |
| -- |
m.c |
| -- |
EG-NcFUE |
| Description conventions |
rda |
| 050 0# - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
Q335 |
| Item number |
.H79 1975 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
001.535 |
| Edition number |
22 |
| Item number |
M.R.A |
| 100 10 - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Mishra, Ravi Bhushan |
| 245 00 - TITLE STATEMENT |
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| Title |
Artificial intelligence |
| Statement of responsibility, etc |
By Ravi Bhushan Mishra. |
| 264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Place of publication, distribution, etc |
New Delhi : |
| Name of publisher, distributor, etc |
Ohl Learning, |
| Date of publication, distribution, etc |
2011. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xii, 503 pages ; |
| Other physical details |
illustration : |
| Dimensions |
24 cm. |
| 336 ## - CONTENT TYPE |
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| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
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| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
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| Source |
rdacarrier |
| Carrier type term |
volume |
| 490 0# - SERIES STATEMENT |
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| Series statement |
Academic Press series in cognition and perception. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc |
Bibliography: p. [446]-457. |
| 505 0# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Front Cover; Artificial Intelligence; Copyright Page; Table of Contents; PREFACE; ACKNOWLEDGMENTS; Part I: Introduction; Chapter I. THE SCOPE OF ARTIFICIAL INTELLIGENCE; 1.0 IS THERE SUCH A THING?; 1.1 Problem Solving; 1.2 Pattern Recognition; 1.3 Game Playing and Decision Making; 1.4 Natural Language and Machine Comprehension; 1.5 Self-Organizing Systems; 1.6 Robotology; Chapter II. PROGRAMMING, PROGRAM STRUCTURE, AND COMPUTABILITY; 2.0 The Relevance of Computability; 2.1 Computations on Strings; 2.2 Formal Grammars; 2.3 Turing Machines; 2.4 Linear Bounded Automata and Type 1 Languages. 2.5 Pushdown Automata and Type 2 Languages2.6 Finite Automata and Regular (Type 3) Languages; 2.7 Summary and Comments on Practicality; Part II: Pattern Recognition; Chapter III. GENERAL CONSIDERATIONS IN PATTERN RECOGNITION; 3.0 Classification; 3.1 Categorizing Pattern-Recognition Problems; 3.2 Historical Perspective and Current Issues; Chapter IV. PATTERN CLASSIFICATION AND RECOGNITION METHODS BASED ON EUCLIDEAN DESCRIPTION SPACES; 4.0 General; 4.1 . Bayesian Procedures in Pattern Recognition; 4.2 Classic Statistical Approach to Pattern Recognition and Classification. 4.3 Classification Based on Proximity of Descriptions4.4 Learning Algorithms; 4.5 Clustering; Chapter V. NON-EUCLIDEAN PARALLEL PROCEDURES: THE PERCEPTRON; 5.0 Introduction and Historical Comment; 5.1 Terminology; 5.2 Basic Theorems for Order-Limited Perceptrons; 5.3 Substantive Theorems for Order-Limited Perceptrons; 5.4 |
| 505 0# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Capabilities of Diameter-Limited Perceptrons; 5.5 The Importance of Perceptron Analysis; Chapter VI. SEQUENTIAL PATTERN RECOGNITION; 6.0 Sequential Classification; 6.1 Definitions and Notation; 6.2 Bayesian Decision Procedures. 6.3 Bayesian Optimal Classification Procedures Based on Dynamic Programming6.4 Approximations Based on Limited Look Ahead Algorithms; 6.5 Convergence in Sequential Pattern Recognition; Chapter VII. GRAMMATICAL PATTERN CLASSIFICATION; 7.0 The Linguistic Approach to Pattern Analysis; 7.1 The Grammatical Inference Problem; 7.2 Grammatical Analysis Applied to Two-Dimensional Images; Chapter VIII. FEATURE EXTRACTION; 8.0 General; 8.1 Formalization of the Factor-Analytic Approach; 8.2 Formalization of the Binary Measurement Case; 8.3 Constructive Heuristics for Feature Detection. 8.4 An Experimental Study of Feature Generation in Pattern Recognition8.5 On Being Clever; Part III: Theorem Proving and Problem Solving; Chapter IX. COMPUTER MANIPULABLE REPRESENTATIONS IN PROBLEM SOLVING; 9.0 The Use of Representations; 9.1 A Typology of Representations; 9.2 Combining Representations; Chapter X. GRAPHIC REPRESENTATIONS IN PROBLEM SOLVING; 10.0 Basic Concepts and Definitions; 10.1 Algorithms for Finding a Minimal Path to a Single Goal Node; 10.2 An ""Optimal"" Ordered Search Algorithm; 10.3 Tree Graphs and Their Use; Chapter XI. HEURISTIC PROBLEM-SOLVING PROGRAMS. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Artificial intelligence. |
| 650 #2 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Computers. |
| 650 #2 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Cybernetics. |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| Materials specified |
Abstract |
| Uniform Resource Identifier |
<a href="http://repository.fue.edu.eg/xmlui/handle/123456789/3480">http://repository.fue.edu.eg/xmlui/handle/123456789/3480</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
Books |
| Source of classification or shelving scheme |
Dewey Decimal Classification |