Machine Learning: ECML-93

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540566021
Total Pages : 492 pages
Book Rating : 4.5/5 (66 download)

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Book Synopsis Machine Learning: ECML-93 by : Pavel B. Brazdil

Download or read book Machine Learning: ECML-93 written by Pavel B. Brazdil and published by Springer Science & Business Media. This book was released on 1993-03-23 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of the Eurpoean Conference on Machine Learning (ECML-93), continuing the tradition of the five earlier EWSLs (European Working Sessions on Learning). The aim of these conferences is to provide a platform for presenting the latest results in the area of machine learning. The ECML-93 programme included invited talks, selected papers, and the presentation of ongoing work in poster sessions. The programme was completed by several workshops on specific topics. The volume contains papers related to all these activities. The first chapter of the proceedings contains two invited papers, one by Ross Quinlan and one by Stephen Muggleton on inductive logic programming. The second chapter contains 18 scientific papers accepted for the main sessions of the conference. The third chapter contains 18 shorter position papers. The final chapter includes three overview papers related to the ECML-93 workshops.

Machine Learning

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Publisher :
ISBN 13 : 9783662186398
Total Pages : 492 pages
Book Rating : 4.1/5 (863 download)

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Book Synopsis Machine Learning by : Pavel B. Brazdil

Download or read book Machine Learning written by Pavel B. Brazdil and published by . This book was released on 2014-09-01 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning: ECML-93

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Author :
Publisher : Springer
ISBN 13 : 9783540475972
Total Pages : 480 pages
Book Rating : 4.4/5 (759 download)

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Book Synopsis Machine Learning: ECML-93 by : Pavel B. Brazdil

Download or read book Machine Learning: ECML-93 written by Pavel B. Brazdil and published by Springer. This book was released on 2006-01-21 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of the Eurpoean Conference on Machine Learning (ECML-93), continuing the tradition of the five earlier EWSLs (European Working Sessions on Learning). The aim of these conferences is to provide a platform for presenting the latest results in the area of machine learning. The ECML-93 programme included invited talks, selected papers, and the presentation of ongoing work in poster sessions. The programme was completed by several workshops on specific topics. The volume contains papers related to all these activities. The first chapter of the proceedings contains two invited papers, one by Ross Quinlan and one by Stephen Muggleton on inductive logic programming. The second chapter contains 18 scientific papers accepted for the main sessions of the conference. The third chapter contains 18 shorter position papers. The final chapter includes three overview papers related to the ECML-93 workshops.

Machine Learning, ECML-93

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Author :
Publisher : Springer Verlag
ISBN 13 : 9780387566023
Total Pages : 469 pages
Book Rating : 4.5/5 (66 download)

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Book Synopsis Machine Learning, ECML-93 by : Pavel B. Brazdil

Download or read book Machine Learning, ECML-93 written by Pavel B. Brazdil and published by Springer Verlag. This book was released on 1993 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This volume contains the proceedings of the Eurpoean Conference on Machine Learning (ECML-93), continuing the tradition of the five earlier EWSLs (European Working Sessions on Learning). The aim of these conferences is to provide a platform for presenting the latest results in the area of machine learning. The ECML-93 programme included invited talks, selected papers, and the presentation of ongoing work in poster sessions. The programme was completed by several workshops on specific topics. The volume contains papers related to all these activities. The first chapter of the proceedings contains two invited papers, one by Ross Quinlan and one by Stephen Muggleton on inductive logic programming. The second chapter contains 18 scientific papers accepted for the main sessions of the conference. The third chapter contains 18 shorter position papers. The final chapter includes three overview papers related to the ECML-93 workshops."--PUBLISHER'S WEBSITE.

Machine Learning: ECML-94

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540578680
Total Pages : 460 pages
Book Rating : 4.5/5 (786 download)

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Book Synopsis Machine Learning: ECML-94 by : Francesco Bergadano

Download or read book Machine Learning: ECML-94 written by Francesco Bergadano and published by Springer Science & Business Media. This book was released on 1994-03-22 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of the European Conference on Machine Learning 1994, which continues the tradition of earlier meetings and which is a major forum for the presentation of the latest and most significant results in machine learning. Machine learning is one of the most important subfields of artificial intelligence and computer science, as it is concerned with the automation of learning processes. This volume contains two invited papers, 19 regular papers, and 25 short papers carefully reviewed and selected from in total 88 submissions. The papers describe techniques, algorithms, implementations, and experiments in the area of machine learning.

Machine Learning Proceedings 1993

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Author :
Publisher : Morgan Kaufmann
ISBN 13 : 1483298620
Total Pages : 361 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Machine Learning Proceedings 1993 by : Lawrence A. Birnbaum

Download or read book Machine Learning Proceedings 1993 written by Lawrence A. Birnbaum and published by Morgan Kaufmann. This book was released on 2014-05-23 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1993

Machine Learning: ECML-95

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540592860
Total Pages : 388 pages
Book Rating : 4.5/5 (928 download)

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Book Synopsis Machine Learning: ECML-95 by : Nada Lavrač

Download or read book Machine Learning: ECML-95 written by Nada Lavrač and published by Springer Science & Business Media. This book was released on 1995-04-05 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the Eighth European Conference on Machine Learning ECML-95, held in Heraclion, Crete in April 1995. Besides four invited papers the volume presents revised versions of 14 long papers and 26 short papers selected from a total of 104 submissions. The papers address all current aspects in the area of machine learning; also logic programming, planning, reasoning, and algorithmic issues are touched upon.

Machine Learning, ECML- ...

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Publisher :
ISBN 13 :
Total Pages : 448 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Machine Learning, ECML- ... by :

Download or read book Machine Learning, ECML- ... written by and published by . This book was released on 1998 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Algorithmic Learning Theory

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540573708
Total Pages : 444 pages
Book Rating : 4.5/5 (737 download)

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Book Synopsis Algorithmic Learning Theory by : Klaus P. Jantke

Download or read book Algorithmic Learning Theory written by Klaus P. Jantke and published by Springer Science & Business Media. This book was released on 1993-10-20 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation This volume contains the papers that were presented at theThird Workshop onAlgorithmic Learning Theory, held in Tokyoin October 1992. In addition to 3invited papers, the volumecontains 19 papers accepted for presentation, selected from29 submitted extended abstracts. The ALT workshops have beenheld annually since 1990 and are organized and sponsored bythe Japanese Society for Artificial Intelligence. The mainobjective of these workshops is to provide an open forum fordiscussions and exchanges of ideasbetween researchers fromvarious backgrounds in this emerging, interdisciplinaryfield of learning theory. The volume is organized into partson learning via query, neural networks, inductive inference, analogical reasoning, and approximate learning.

Extensions of Logic Programming

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540580256
Total Pages : 376 pages
Book Rating : 4.5/5 (82 download)

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Book Synopsis Extensions of Logic Programming by : Roy Dyckhoff

Download or read book Extensions of Logic Programming written by Roy Dyckhoff and published by Springer Science & Business Media. This book was released on 1994-05-20 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers in this volume are extended versions of presentations at the fourth International Workshop on Extensions of Logic Programming, held at the University of St Andrews, March/April 1993. Among the topics covered in the volume are: defintional reflection and completion, modules in lambda-Prolog, representation of logics as partial inductive definitions, non-procedural logic programming, knowledge representation, contradiction avoidance, disjunctive databases, strong negation, linear logic programming, proof theory and regular search spaces, finite sets and constraint logic programming, search-space pruning and universal algebra, and implementation on transputer networks.

Foundations of Rule Learning

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Publisher : Springer Science & Business Media
ISBN 13 : 3540751971
Total Pages : 345 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Foundations of Rule Learning by : Johannes Fürnkranz

Download or read book Foundations of Rule Learning written by Johannes Fürnkranz and published by Springer Science & Business Media. This book was released on 2012-11-06 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rules – the clearest, most explored and best understood form of knowledge representation – are particularly important for data mining, as they offer the best tradeoff between human and machine understandability. This book presents the fundamentals of rule learning as investigated in classical machine learning and modern data mining. It introduces a feature-based view, as a unifying framework for propositional and relational rule learning, thus bridging the gap between attribute-value learning and inductive logic programming, and providing complete coverage of most important elements of rule learning. The book can be used as a textbook for teaching machine learning, as well as a comprehensive reference to research in the field of inductive rule learning. As such, it targets students, researchers and developers of rule learning algorithms, presenting the fundamental rule learning concepts in sufficient breadth and depth to enable the reader to understand, develop and apply rule learning techniques to real-world data.

Conceptual Graphs for Knowledge Representation

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540569794
Total Pages : 470 pages
Book Rating : 4.5/5 (697 download)

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Book Synopsis Conceptual Graphs for Knowledge Representation by : Guy W. Mineau

Download or read book Conceptual Graphs for Knowledge Representation written by Guy W. Mineau and published by Springer Science & Business Media. This book was released on 1993-07-14 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and cognitive science are the two fields devoted to the study and development of knowledge-based systems (KBS). Over the past 25years, researchers have proposed several approaches for modeling knowledge in KBS, including several kinds of formalism such as semantic networks, frames, and logics. In the early 1980s, J.F. Sowa introduced the conceptual graph (CG) theory which provides a knowledge representation framework consisting of a form of logic with a graph notationand integrating several features from semantic net and frame representations. Since that time, several research teams over the world have been working on the application and extension of CG theory in various domains ranging from natural language processing to database modeling and machine learning. This volume contains selected papers fromthe international conference on Conceptual Structures held in the city of Quebec, Canada, August 4-7, 1993. The volume opens with invited papers by J.F. Sowa, B.R. Gaines, and J. Barwise.

Automated Deduction, Cade-12.

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540581567
Total Pages : 874 pages
Book Rating : 4.5/5 (815 download)

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Book Synopsis Automated Deduction, Cade-12. by : Alan Bundy

Download or read book Automated Deduction, Cade-12. written by Alan Bundy and published by Springer Science & Business Media. This book was released on 1994-06-08 with total page 874 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the reviewed papers presented at the 12th International Conference on Automated Deduction (CADE-12) held at Nancy, France in June/July 1994. The 67 papers presented were selected from 177 submissions and document many of the most important research results in automated deduction since CADE-11 was held in June 1992. The volume is organized in chapters on heuristics, resolution systems, induction, controlling resolutions, ATP problems, unification, LP applications, special-purpose provers, rewrite rule termination, ATP efficiency, AC unification, higher-order theorem proving, natural systems, problem sets, and system descriptions.

Temporal Logic

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540582410
Total Pages : 564 pages
Book Rating : 4.5/5 (824 download)

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Book Synopsis Temporal Logic by : Dov M. Gabbay

Download or read book Temporal Logic written by Dov M. Gabbay and published by Springer Science & Business Media. This book was released on 1994-06-29 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the First International Conference on Temporal Logic (ICTL '94), held at Bonn, Germany in July 1994. Since its conception as a discipline thirty years ago, temporal logic is studied by many researchers of numerous backgrounds; presently it is in a stage of accelerated dynamic growth. This book, as the proceedings of the first international conference particularly dedicated to temporal logic, gives a thorough state-of-the-art report on all aspects of temporal logic research relevant for computer science and AI. It contains 27 technical contributions carefully selected for presentation at ICTL '94 as well as three surveys and position papers.

Knowledge Representation and Reasoning Under Uncertainty

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540580959
Total Pages : 252 pages
Book Rating : 4.5/5 (89 download)

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Book Synopsis Knowledge Representation and Reasoning Under Uncertainty by : Michael Masuch

Download or read book Knowledge Representation and Reasoning Under Uncertainty written by Michael Masuch and published by Springer Science & Business Media. This book was released on 1994-06-28 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is based on the International Conference Logic at Work, held in Amsterdam, The Netherlands, in December 1992. The 14 papers in this volume are selected from 86 submissions and 8 invited contributions and are all devoted to knowledge representation and reasoning under uncertainty, which are core issues of formal artificial intelligence. Nowadays, logic is not any longer mainly associated to mathematical and philosophical problems. The term applied logic has a far wider meaning, as numerous applications of logical methods, particularly in computer science, artificial intelligence, or formal linguistics, testify. As demonstrated also in this volume, a variety of non-standard logics gained increased importance for knowledge representation and reasoning under uncertainty.

Logic Programming and Automated Reasoning

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540582168
Total Pages : 364 pages
Book Rating : 4.5/5 (821 download)

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Book Synopsis Logic Programming and Automated Reasoning by : Frank Pfenning

Download or read book Logic Programming and Automated Reasoning written by Frank Pfenning and published by Springer Science & Business Media. This book was released on 1994-06-22 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of the 5th International Conference on Logic Programming and Automated Reasoning, held aboard the ship "Marshal Koshevoi" on the Dnieper near Kiev, Ukraine in July 1994. The LPAR conferences are held annually in the former Soviet Union and aimed at bringing together researchers interested in LP and AR. This proceedings contains the full versions of the 24 accepted papers evaluated by at least three referees ensuring a program of highest quality. The papers cover all relevant aspects of LP and AR ranging from theory to implementation and application.

Data Mining and Knowledge Discovery with Evolutionary Algorithms

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Publisher : Springer Science & Business Media
ISBN 13 : 3662049236
Total Pages : 272 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Data Mining and Knowledge Discovery with Evolutionary Algorithms by : Alex A. Freitas

Download or read book Data Mining and Knowledge Discovery with Evolutionary Algorithms written by Alex A. Freitas and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics