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Encyclopedia Of Artificial Intelligence

Publisher: IGI Global Snippet
ISBN: 1599048493
Size: 31.12 MB
Format: PDF, ePub, Docs
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"This book is a comprehensive and in-depth reference to the most recent developments in the field covering theoretical developments, techniques, technologies, among others"--Provided by publisher.

The Handbook Of Artificial Intelligence

Author: Avron Barr
Publisher: Butterworth-Heinemann
ISBN: 1483214389
Size: 25.65 MB
Format: PDF, Kindle
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The Handbook of Artificial Intelligence, Volume II focuses on the improvements in artificial intelligence (AI) and its increasing applications, including programming languages, intelligent CAI systems, and the employment of AI in medicine, science, and education. The book first elaborates on programming languages for AI research and applications-oriented AI research. Discussions cover scientific applications, teiresias, applications in chemistry, dependencies and assumptions, AI programming-language features, and LISP. The manuscript then examines applications-oriented AI research in medicine and education, including ICAI systems design, intelligent CAI systems, medical systems, and other applications of AI to education. The manuscript explores automatic programming, as well as the methods of program specification, basic approaches, and automatic programming systems. The book is a valuable source of data for computer science experts and researchers interested in conducting further research in artificial intelligence.

Encyclopedia Of Machine Learning

Author: Claude Sammut
Publisher: Springer Science & Business Media
ISBN: 0387307680
Size: 22.19 MB
Format: PDF, ePub, Mobi
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This comprehensive encyclopedia, with over 250 entries in an A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of machine learning. Most entries in this preeminent work include useful literature references. Topics for the Encyclopedia of Machine Learning were selected by a distinguished international advisory board. These peer-reviewed, highly-structured entries include definitions, illustrations, applications, bibliographies and links to related literature, providing the reader with a portal to more detailed information on any given topic. The style of the entries in the Encyclopedia of Machine Learning is expository and tutorial, making the book a practical resource for machine learning experts, as well as professionals in other fields who need to access this vital information but may not have the time to work their way through an entire text on their topic of interest. The authoritative reference is published both in print and online. The print publication includes an index of subjects and authors. The online edition supplements this index with hyperlinks as well as internal hyperlinks to related entries in the text, CrossRef citations, and links to additional significant research.

Encyclopedia Of Computer Science And Technology

Author: Jack Belzer
Publisher: CRC Press
Size: 26.26 MB
Format: PDF, Docs
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"This comprehensive reference work provides immediate, fingertip access to state-of-the-art technology in nearly 700 self-contained articles written by over 900 international authorities. Each article in the Encyclopedia features current developments and trends in computers, software, vendors, and applications...extensive bibliographies of leading figures in the field, such as Samuel Alexander, John von Neumann, and Norbert Wiener...and in-depth analysis of future directions."

God From The Machine

Author: William Sims Bainbridge
Publisher: Rowman Altamira
ISBN: 9780759107441
Size: 56.88 MB
Format: PDF, ePub, Mobi
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A demonstration of how religion and religious belief can emerge using computer simulations

Cross Disciplinary Applications Of Artificial Intelligence And Pattern Recognition Advancing Technologies

Author: Mago, Vijay Kumar
Publisher: IGI Global
ISBN: 1613504306
Size: 66.62 MB
Format: PDF, Docs
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The need for intelligent machines in areas such as medical diagnostics, biometric security systems, and image processing motivates researchers to develop and explore new techniques, algorithms, and applications in this evolving field.Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies provides a common platform for researchers to present theoretical and applied research findings for enhancing and developing intelligent systems. Through its discussions of advances in and applications of pattern recognition technologies and artificial intelligence, this reference highlights core concepts in biometric imagery, feature recognition, and other related fields, along with their applicability.