Artificial intelligence: Structures and strategies for complex problem solving (Record no. 297447)
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000 -LEADER | |
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fixed length control field | 01669nam a22001817a 4500 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9789354493782 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.3 |
Item number | GEO-A |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Luger, George F. |
245 ## - TITLE STATEMENT | |
Title | Artificial intelligence: Structures and strategies for complex problem solving |
Statement of responsibility, etc. | By George F. Luger |
250 ## - EDITION STATEMENT | |
Edition statement | 6th Ed. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of publication, distribution, etc. | Uttarpradesh: |
Name of publisher, distributor, etc. | Pearson India Education Services, |
Date of publication, distribution, etc. | c2021. |
490 ## - SERIES STATEMENT | |
Series statement | Artifiicial Intelligence- Machine learning- Dynamic Programming-Natural Language Processing - Epilogue |
500 ## - GENERAL NOTE | |
General note | Each chapers are arranged under six parts |
504 ## - BIBLIOGRAPHY, ETC. NOTE | |
Bibliography, etc. note | includes Index |
505 ## - FORMATTED CONTENTS NOTE | |
Formatted contents note | Chapter 13, Probabilistically-Based Machine Learning Covers Stochastic Methods That Support Machine Learning.<br/><br/>New! Natural Language Processing With Dynamic Programming (The Earley Parser) And Other Probabilistic Parsing Techniques Including Viterbi, Are Added To Chapter 15, Understanding Natural Language.<br/><br/>New! Presentation Of Agent Technology And The Use Of Ontologies Are Added To Chapter 7, Knowledge Presentation.<br/><br/>Expanded Stochastic Approaches To Reasoning In Uncertain Situations, Including Bayesian Belief Networks And Markov Models, Are Discussed In Chapter 9.<br/><br/> |
520 ## - SUMMARY, ETC. | |
Summary, etc. | Ideal For An Undergraduate Course In Artificial Intelligence, The Sixth Edition Presents The Fundamental Concepts Of The Discipline First And Then Goes Into Detail With The Practical Information Necessary To Implement The Algorithms And Strategies Discussed. It Includes Perception And Adaptation Using Neural Networks And Genetic Algorithms, Intelligent Agents With Ontologies, Automated Reasoning, Natural Language Analysis, And Stochastic Approaches To Machine Learning. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Book |
Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Date last checked out | Price effective from | Koha item type |
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Dept. of Computational Biology and Bioinformatics | Dept. of Computational Biology and Bioinformatics | Processing Center | 05/10/2021 | 1 | 006.3 GEO-A | DCB3964 | 16/03/2023 | 30/05/2022 | 05/10/2021 | Book |