Learning And Generalization Of Structural Descriptions
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Learning And Generalization Of Structural Descriptions
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Author : Nachum Dershowitz
language : en
Publisher:
Release Date : 1980
Learning And Generalization Of Structural Descriptions written by Nachum Dershowitz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with Artificial intelligence categories.
Shape Structure And Pattern Recognition
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Author : Horst Bunke
language : en
Publisher: World Scientific
Release Date : 1995-06-29
Shape Structure And Pattern Recognition written by Horst Bunke and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-06-29 with categories.
The book is an extensive compilation of the papers presented at the IAPR International Workshop on Structural and Syntactic Pattern Recognition SSPR'94. It includes a preface by Professor Herbert Freeman, who is the recipient of the IAPR King Sun Fu Award for 1994. The book is divided into four parts and covers state-of-the art topics related to a variety of aspects of pattern recognition.
Ijcai Proceedings 1979
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Author : Ijcai
language : en
Publisher: Elsevier
Release Date : 1979
Ijcai Proceedings 1979 written by Ijcai and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Computers categories.
Pattern Analysis And Understanding
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Author : Heinrich Niemann
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17
Pattern Analysis And Understanding written by Heinrich Niemann 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 2013-04-17 with Science categories.
In this second edition every chapter of the first edition of Pattern Analysis has been updated and expanded. The general view of a system for pattern analysis and understanding has remained unchanged, but many details have been revised. A short account of light and sound has been added to the introduction, some normalization techniques and a basic introduction to morphological operations have been added to the second chapter. Chapter 3 has been expanded significantly by topics like motion, depth, and shape from shading; additional material has also been added to the already existing sections of this chapter. The old sections of Chap. 4 have been reorganized, a general view of the classification problem has been added and material provided to incorporate techniques of word and object recognition and to give a short account of some types of neural nets. Almost no changes have been made in Chap. 5. The part on representation of control structures in Chap. 6 has been shortened, a section on the judgement of results has been added. Chapter 7 has been rewritten almost completely; the section on formal grammars has been reduced, the sections on production systems, semantic networks, and knowledge acquisition have been expanded, and sections on logic and explanation added. The old Chaps. 8 and 9 have been omitted. In summary, the new edition is a thorough revision and extensive update of the first one taking into account the progress in the field during recent years.
Conceptual Structures Logical Linguistic And Computational Issues
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Author : Bernhard Ganter
language : en
Publisher: Springer
Release Date : 2006-12-30
Conceptual Structures Logical Linguistic And Computational Issues written by Bernhard Ganter and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-12-30 with Computers categories.
Computerscientistscreatemodelsofaperceivedreality.ThroughAItechniques, these models aim at providing the basic support for emulating cognitive - havior such as reasoning and learning, which is one of the main goals of the AI research e?ort. Such computer models are formed through the interaction of various acquisition and inference mechanisms: perception, concept learning, conceptual clustering, hypothesis testing, probabilistic inference, etc., and are represented using di?erent paradigms tightly linked to the processes that use them. Among these paradigms let us cite: biological models (neural nets, genetic programming), logic-based models (?rst-order logic, modal logic, rule-based s- tems), virtual reality models (object systems, agent systems), probabilistic m- els(Bayesiannets,fuzzylogic),linguisticmodels(conceptualdependencygraphs, language-based representations), etc. OneofthestrengthsoftheConceptualGraph(CG)theoryisitsversatilityin terms of the representation paradigms under which it falls. It can be viewed and therefore used, under di?erent representation paradigms, which makes it a p- ular choice for a wealth of applications. Its full coupling with di?erent cognitive processes lead to the opening of the ?eld toward related research communities such as the Description Logic, Formal Concept Analysis, and Computational Linguistic communities. We now see more and more research results from one community enrich the other, laying the foundations of common philosophical grounds from which a successful synergy can emerge.
Learning And Generalization Of Structural Descriptions
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Author : Thomas Glenn Dietterich
language : en
Publisher:
Release Date : 1980
Learning And Generalization Of Structural Descriptions written by Thomas Glenn Dietterich and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with Artificial intelligence categories.
Pattern Analysis
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Author : H. Niemann
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Pattern Analysis written by H. Niemann 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 2012-12-06 with Computers categories.
This book is devoted to pattern analysis, that is, the automatic construc tion of a symbolic description for a complex pattern, like an image or con nected speech. Pattern analysis thus tries to simulate certain capabilities which go without saying in any human central nervous system. The increasing interest and growing efforts at solving the problems related with pattern analysis are motivated by the challenge of the problem and the expected ap plications. Potential applications are numerous and result from the fact that data can be gathered and stored by modern devices in ever increasing extent, thus making the finding of particular interesting facts or events in these hosts of data an ever increasing problem. It was tried to organize the book around one particular view of pattern analysis: the view that pattern analysis requires an appropriate set of modules operating on a common data base which contains interme processing diate results of processing. Although other views are certainly possible, this one was adopted because the author feels that it is a useful idea, be cause the size of this book had to be kept within reasonable bounds, and because it facilitated the composition of fairly self-contained chapters.
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.
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
A Program For The Solution Of A Class Of Geometric Analogy Intelligence Test Questions
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Author : Thomas G. Evans
language : en
Publisher:
Release Date : 1964
A Program For The Solution Of A Class Of Geometric Analogy Intelligence Test Questions written by Thomas G. Evans and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1964 with Artificial intelligence categories.
The novel organization of the program in terms of figure descriptions, which are analyzed to find transformation rules, and rule descriptions, which are analyzed to find 'common generalizations' of pairs of transformation rules, has implications for the design of problem-solving programs and for machine learning. These implications are discussed at some length and suggestions are made for work on pattern-recognition and learning techniques based on ideas developed in the course of the present investigation.