Foundations Of Knowledge Acquisition Machine Learning

Author : Alan L. Meyrowitz
Publisher : Springer Science & Business Media
ISBN 13 : 0585273669
Total Pages : 341 pages
Book Rating : 4.62/5 ( download)

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Download or read book Foundations of Knowledge Acquisition written by Alan L. Meyrowitz and published by Springer Science & Business Media. This book was released on 2007-08-19 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the most intriguing questions about the new computer technology that has appeared over the past few decades is whether we humans will ever be able to make computers learn. As is painfully obvious to even the most casual computer user, most current computers do not. Yet if we could devise learning techniques that enable computers to routinely improve their performance through experience, the impact would be enormous. The result would be an explosion of new computer applications that would suddenly become economically feasible (e. g. , personalized computer assistants that automatically tune themselves to the needs of individual users), and a dramatic improvement in the quality of current computer applications (e. g. , imagine an airline scheduling program that improves its scheduling method based on analyzing past delays). And while the potential economic impact of successful learning methods is sufficient reason to invest in research into machine learning, there is a second significant reason: studying machine learning helps us understand our own human learning abilities and disabilities, leading to the possibility of improved methods in education. While many open questions remain about the methods by which machines and humans might learn, significant progress has been made.

Author : Susan Chipman
Publisher : Springer Science & Business Media
ISBN 13 : 1461531721
Total Pages : 347 pages
Book Rating : 4.22/5 ( download)

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Download or read book Foundations of Knowledge Acquisition written by Susan Chipman and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the most intriguing questions about the new computer technology that has appeared over the past few decades is whether we humans will ever be able to make computers learn. As is painfully obvious to even the most casual computer user, most current computers do not. Yet if we could devise learning techniques that enable computers to routinely improve their performance through experience, the impact would be enormous. The result would be an explosion of new computer applications that would suddenly become economically feasible (e. g. , personalized computer assistants that automatically tune themselves to the needs of individual users), and a dramatic improvement in the quality of current computer applications (e. g. , imagine an airline scheduling program that improves its scheduling method based on analyzing past delays). And while the potential economic impact ofsuccessful learning methods is sufficient reason to invest in research into machine learning, there is a second significant reason: studying machine learning helps us understand our own human learning abilities and disabilities, leading to the possibility of improved methods in education. While many open questions remain aboutthe methods by which machines and humans might learn, significant progress has been made.

Author : Sandra Marcus
Publisher : Springer Science & Business Media
ISBN 13 : 146131531X
Total Pages : 150 pages
Book Rating : 4.15/5 ( download)

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Download or read book Knowledge Acquisition: Selected Research and Commentary written by Sandra Marcus and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: What follows is a sampler of work in knowledge acquisition. It comprises three technical papers and six guest editorials. The technical papers give an in-depth look at some of the important issues and current approaches in knowledge acquisition. The editorials were pro duced by authors who were basically invited to sound off. I've tried to group and order the contributions somewhat coherently. The following annotations emphasize the connections among the separate pieces. Buchanan's editorial starts on the theme of "Can machine learning offer anything to expert systems?" He emphasizes the practical goals of knowledge acquisition and the challenge of aiming for them. Lenat's editorial briefly describes experience in the development of CYC that straddles both fields. He outlines a two-phase development that relies on an engineering approach early on and aims for a crossover to more automated techniques as the size of the knowledge base increases. Bareiss, Porter, and Murray give the first technical paper. It comes from a laboratory of machine learning researchers who have taken an interest in supporting the development of knowledge bases, with an emphasis on how development changes with the growth of the knowledge base. The paper describes two systems. The first, Protos, adjusts the training it expects and the assistance it provides as its knowledge grows. The second, KI, is a system that helps integrate knowledge into an already very large knowledge base.

Author : Brian R. Gaines
Publisher :
ISBN 13 :
Total Pages : 418 pages
Book Rating : 4.40/5 ( download)

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Download or read book The Foundations of Knowledge Acquisition written by Brian R. Gaines and published by . This book was released on 1990 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a broad view of the fundamental issues involved in knowledge acquisition and their place in knowledge-based systems development. The book covers theory based methods and problem modeling approaches to provide a strong theoretical and methodological basis for practical and effective knowledge acquisition techniques.

Author : Susan F. Chipman
Publisher :
ISBN 13 :
Total Pages : 370 pages
Book Rating : 4.95/5 ( download)

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Download or read book Foundations of Knowledge Acquisition written by Susan F. Chipman and published by . This book was released on 1993 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Manjusha Pandey
Publisher : Springer Nature
ISBN 13 : 9813365188
Total Pages : 172 pages
Book Rating : 4.86/5 ( download)

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Download or read book Machine Learning: Theoretical Foundations and Practical Applications written by Manjusha Pandey and published by Springer Nature. This book was released on 2021-04-19 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book is a collection of chapters invited and presented by experts at 10th industry symposium held during 9–12 January 2020 in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web navigation and mining, learning through mobile data mining, text and multimedia mining through machine learning, distributed and parallel learning algorithms and applications, feature extraction and classification, theories and models for plausible reasoning, computational learning theory, cognitive modelling and hybrid learning algorithms.

Author : Yang Sok Kim
Publisher : Springer
ISBN 13 : 3319133322
Total Pages : 289 pages
Book Rating : 4.24/5 ( download)

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Download or read book Knowledge Management and Acquisition for Smart Systems and Services written by Yang Sok Kim and published by Springer. This book was released on 2014-11-06 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 13th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2014, held in Gold Cost, Qld, Australia, in December 2014. The 18 full papers and 4 short papers included in this volume were carefully reviewed and selected from 69 initial submissions. They deal with knowledge acquisition, expert systems, intelligent agents, ontology engineering, foundations of artificial intelligence, machine learning, data mining, Web mining, information systems, Web and other applications.

Author : Sandra Marcus
Publisher :
ISBN 13 : 9781461315322
Total Pages : 160 pages
Book Rating : 4.28/5 ( download)

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Download or read book Knowledge Acquisition written by Sandra Marcus and published by . This book was released on 1990-01-31 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : A. Kidd
Publisher : Springer Science & Business Media
ISBN 13 : 1461318238
Total Pages : 203 pages
Book Rating : 4.31/5 ( download)

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Download or read book Knowledge Acquisition for Expert Systems written by A. Kidd and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building an expert system involves eliciting, analyzing, and interpreting the knowledge that a human expert uses when solving problems. Expe rience has shown that this process of "knowledge acquisition" is both difficult and time consuming and is often a major bottleneck in the production of expert systems. Unfortunately, an adequate theoretical basis for knowledge acquisition has not yet been established. This re quires a classification of knowledge domains and problem-solving tasks and an improved understanding of the relationship between knowledge structures in human and machine. In the meantime, expert system builders need access to information about the techniques currently being employed and their effectiveness in different applications. The aim of this book, therefore, is to draw on the experience of AI scientists, cognitive psychologists, and knowledge engineers in discussing particular acquisition techniques and providing practical advice on their application. Each chapter provides a detailed description of a particular technique or methodology applied within a selected task domain. The relative strengths and weaknesses of the tech nique are summarized at the end of each chapter with some suggested guidelines for its use. We hope that this book will not only serve as a practical handbook for expert system builders, but also be of interest to AI and cognitive scientists who are seeking to develop a theory of knowledge acquisition for expert systems.

Author : Andrzej P. Wierzbicki
Publisher : Springer
ISBN 13 : 3540715622
Total Pages : 509 pages
Book Rating : 4.27/5 ( download)

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Download or read book Creative Environments written by Andrzej P. Wierzbicki and published by Springer. This book was released on 2007-06-02 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: Creative Environments follows up on the book Creative Space, by the same authors, who serve this time as editors. The first part further develops models of knowledge creation, in particular the Triple Helix of normal academic knowledge creation and a new, integrated model of normal academic and organizational knowledge creation, called Nanatsudaki (seven waterfalls) Model. Also presented are intelligence tools, statistics for support of creativity and more.