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Home > Science, Technology & Agriculture > Energy technology and engineering > Electrical engineering > Contemporary Artificial Intelligence: With an Introduction to Machine Learning, Second Edition(Chapman & Hall/CRC Artificial Intelligence and Robotics Series)
Contemporary Artificial Intelligence: With an Introduction to Machine Learning, Second Edition(Chapman & Hall/CRC Artificial Intelligence and Robotics Series)

Contemporary Artificial Intelligence: With an Introduction to Machine Learning, Second Edition(Chapman & Hall/CRC Artificial Intelligence and Robotics Series)


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About the Book

The notion of artificial intelligence (AI) often sparks thoughts of characters from science fiction, such as the Terminator and HAL 9000. While these two artificial entities do not exist, the algorithms of AI have been able to address many real issues, from performing medical diagnoses to navigating difficult terrain to monitoring possible failures

Table of Contents:
Introduction to Artificial Intelligence. LOGICAL INTELLIGENCE: Propositional Logic. First-Order Logic. Certain Knowledge Representation. PROBABILISTIC INTELLIGENCE: Probability. Uncertain Knowledge Representation. Advanced Properties of Bayesian Network. Decision Analysis. EMERGENT INTELLIGENCE: Evolutionary Computation. Swarm Intelligence. LEARNING: Learning Deterministic Models. Learning Probabilistic Model Parameters. Learning Probabilistic Model Structure. More Learning. LANGUAGE UNDERSTANDING: Natural Language Understanding. Bibliography. Index.

About the Author :
Richard E. Neapolitan is a professor of computer science at Northeastern Illinois University. Dr. Neapolitan has published in prestigious journals related to reasoning under uncertainty and has authored five books: Probabilistic Reasoning in Expert Systems, Learning Bayesian Networks, Foundations of Algorithms, Probabilistic Methods for Financial and Marketing Informatics, and Probabilistic Methods for Bioinformatics. His research interests include probability and statistics, expert systems, cognitive science, and applications of probabilistic modeling to fields such as medicine, biology, and finance. Xia Jiang is an assistant professor in the Department of Biomedical Informatics at the University of Pittsburgh. Dr. Jiang co-authored Probabilistic Methods for Financial and Marketing Informatics. Her current research focuses on developing novel algorithms/systems that improve the computational efficiency of large data analysis and network modeling of cancer genome data.


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Product Details
  • ISBN-13: 9781439844700
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: Chapman & Hall/CRC
  • Language: English
  • No of Pages: 515
  • Sub Title: With an Introduction to Machine Learning, Second Edition
  • ISBN-10: 1439844704
  • Publisher Date: 25 Aug 2012
  • Binding: Digital (delivered electronically)
  • No of Pages: 515
  • Series Title: Chapman & Hall/CRC Artificial Intelligence and Robotics Series


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Contemporary Artificial Intelligence: With an Introduction to Machine Learning, Second Edition(Chapman & Hall/CRC Artificial Intelligence and Robotics Series)
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