Artificial intelligence: Structures and strategies for complex problem solving By George F. Luger

By:

Luger, George F

Material type: Text

TextSeries: Artifiicial Intelligence- Machine learning- Dynamic Programming-Natural Language Processing - EpiloguePublication details: Uttarpradesh: Pearson India Education Services, c2021.Edition: 6th EdISBN:

9789354493782

DDC classification:

006.3 GEO-A

Contents:

Chapter 13, Probabilistically-Based Machine Learning Covers Stochastic Methods That Support Machine Learning. 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. New! Presentation Of Agent Technology And The Use Of Ontologies Are Added To Chapter 7, Knowledge Presentation. Expanded Stochastic Approaches To Reasoning In Uncertain Situations, Including Bayesian Belief Networks And Markov Models, Are Discussed In Chapter 9.

Summary: 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.

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Holdings
Item type	Current library	Home library	Call number	Status	Barcode
Book	Dept. of Computational Biology and Bioinformatics Processing Center	Dept. of Computational Biology and Bioinformatics	006.3 GEO-A (Browse shelf(Opens below))	Available	DCB3964

Each chapers are arranged under six parts

includes Index

Chapter 13, Probabilistically-Based Machine Learning Covers Stochastic Methods That Support Machine Learning.

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.

New! Presentation Of Agent Technology And The Use Of Ontologies Are Added To Chapter 7, Knowledge Presentation.

Expanded Stochastic Approaches To Reasoning In Uncertain Situations, Including Bayesian Belief Networks And Markov Models, Are Discussed In Chapter 9.

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.

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