Artificial Intelligence Reports From The University Of Illinois

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Artificial Intelligence Reports From The University Of Illinois
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Author : Comtex
language : en
Publisher: John Wiley & Sons
Release Date : 1985-03-01
Artificial Intelligence Reports From The University Of Illinois written by Comtex and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985-03-01 with categories.
Artificial Intelligence Technical Report Uiuc Bi Ai
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Author :
language : en
Publisher:
Release Date : 1993
Artificial Intelligence Technical Report Uiuc Bi Ai written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Artificial intelligence categories.
Artificial Intelligence Technical Report Uiuc Bi Ai Rcv
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Author :
language : en
Publisher:
Release Date : 1992
Artificial Intelligence Technical Report Uiuc Bi Ai Rcv written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Artificial intelligence categories.
Artificial Intelligence Technical Report Uiuc Bi Ai Dss
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Author :
language : en
Publisher:
Release Date : 1992
Artificial Intelligence Technical Report Uiuc Bi Ai Dss written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Artificial intelligence categories.
Exploring Artificial Intelligence
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Author : Howard E. Shrobe
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-05-12
Exploring Artificial Intelligence written by Howard E. Shrobe and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-12 with Computers categories.
Exploring Artificial Intelligence: Survey Talks from the National Conference on Artificial Intelligence provides information pertinent to the distinct subareas of artificial intelligence research. This book discusses developments in machine learning techniques. Organized into six parts encompassing 16 chapters, this book begins with an overview of intelligent tutoring systems, which describes how to guide a student to learn new concepts. This text then links closely with one of the concerns of intelligent tutoring systems, namely how to interact through the utilization of natural language. Other chapters consider the various aspects of natural language understanding and survey the huge body of work that tries to characterize heuristic search programs. This book discusses as well how computer programs can create plans to satisfy goals. The final chapter deals with computational facilities that support. This book is a valuable resource for cognitive scientists, psychologists, domain experts, computer scientists, instructional designers, expert teachers, and research workers.
A General Explanation Based Learning Mechanism And Its Application To Narrative Understanding
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Author : Raymond J. Mooney
language : en
Publisher: Morgan Kaufmann
Release Date : 1990
A General Explanation Based Learning Mechanism And Its Application To Narrative Understanding written by Raymond J. Mooney and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.
By Raymond J. Mooney.
Machine Learning
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Author : Yves Kodratoff
language : en
Publisher: Elsevier
Release Date : 2014-06-28
Machine Learning written by Yves Kodratoff and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Computers categories.
Machine Learning: An Artificial Intelligence Approach, Volume III presents a sample of machine learning research representative of the period between 1986 and 1989. The book is organized into six parts. Part One introduces some general issues in the field of machine learning. Part Two presents some new developments in the area of empirical learning methods, such as flexible learning concepts, the Protos learning apprentice system, and the WITT system, which implements a form of conceptual clustering. Part Three gives an account of various analytical learning methods and how analytic learning can be applied to various specific problems. Part Four describes efforts to integrate different learning strategies. These include the UNIMEM system, which empirically discovers similarities among examples; and the DISCIPLE multistrategy system, which is capable of learning with imperfect background knowledge. Part Five provides an overview of research in the area of subsymbolic learning methods. Part Six presents two types of formal approaches to machine learning. The first is an improvement over Mitchell's version space method; the second technique deals with the learning problem faced by a robot in an unfamiliar, deterministic, finite-state environment.
Machine Learning Proceedings 1988
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Author : John Laird
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-05-23
Machine Learning Proceedings 1988 written by John Laird and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-23 with Computers categories.
Machine Learning Proceedings 1988
Readings In Machine Learning
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Author : Jude W. Shavlik
language : en
Publisher: Morgan Kaufmann
Release Date : 1990
Readings In Machine Learning written by Jude W. Shavlik and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.
The ability to learn is a fundamental characteristic of intelligent behavior. Consequently, machine learning has been a focus of artificial intelligence since the beginnings of AI in the 1950s. The 1980s saw tremendous growth in the field, and this growth promises to continue with valuable contributions to science, engineering, and business. Readings in Machine Learning collects the best of the published machine learning literature, including papers that address a wide range of learning tasks, and that introduce a variety of techniques for giving machines the ability to learn. The editors, in cooperation with a group of expert referees, have chosen important papers that empirically study, theoretically analyze, or psychologically justify machine learning algorithms. The papers are grouped into a dozen categories, each of which is introduced by the editors.
Advances In Machine Learning I
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Author : Jacek Koronacki
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-02-04
Advances In Machine Learning I written by Jacek Koronacki and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-04 with Computers categories.
Professor Richard S. Michalski passed away on September 20, 2007. Once we learned about his untimely death we immediately realized that we would no longer have with us a truly exceptional scholar and researcher who for several decades had been inf- encing the work of numerous scientists all over the world - not only in his area of expertise, notably machine learning, but also in the broadly understood areas of data analysis, data mining, knowledge discovery and many others. In fact, his influence was even much broader due to his creative vision, integrity, scientific excellence and exceptionally wide intellectual horizons which extended to history, political science and arts. Professor Michalski’s death was a particularly deep loss to the whole Polish sci- tific community and the Polish Academy of Sciences in particular. After graduation, he began his research career at the Institute of Automatic Control, Polish Academy of Science in Warsaw. In 1970 he left his native country and hold various prestigious positions at top US universities. His research gained impetus and he soon established himself as a world authority in his areas of interest – notably, he was widely cons- ered a father of machine learning.