| Machine Intelligence 13 ushers in an exciting new phase of artificial intelligence research, one in which machine learning has emerged as a hot-bed of new theory, as a practical tool in engineering disciplines, and as a source of material for cognitive models of the human brain. Based on the Machine Intelligence Workshop of 1992, held at Strathclyde University in Scotland, the book brings together numerous papers from some of the field's leading researchers to discuss current theoretical and practical issues. Highlights include a chapter by J.A. Robinson--the founder of modern computational logic--on the field's great forefathers John von Neumann and Alan Turing, and a chapter by Stephen Muggleton that analyzes Turing's legacy in logic and machine learning. This thirteenth volume in the renowned Machine Intelligence series remains the best source of information for the latest developments in the field. All students and researchers in artificial intelligence and machine learning will want to own a copy.
About the Author
K. Furukawa is at Keio University, Tokyo. D. Michie is at Turing Institute, Glasgow. |
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 The Hiring and Firing: Question and Answer BookFalcone (96 Great Interview Questions to Ask Before You Hire), director of employment and development at Paramount Pictures, offers a comprehensive look at virtually all hiring issues, including application and termination procedures, evaluation, recommendation and lawsuits. This objective q&a-style guide offers step-by-step directions for... | | Modeling the Internet and the Web: Probabilistic Methods and AlgorithmsThe World Wide Web is growing in size at a remarkable rate. It is a huge evolving system and its data are rife with uncertainties. Probability and statistics are the fundamental mathematical tools that enable us to model, reason and infer meaningful results from such data. Modelling the Internet and the Web covers the... | | |
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