Logical and Relational Learning

Author: Luc De Raedt

Publisher: Springer Science & Business Media

ISBN: 3540200401

Category: Computers

Page: 387

View: 7574

This first textbook on multi-relational data mining and inductive logic programming provides a complete overview of the field. It is self-contained and easily accessible for graduate students and practitioners of data mining and machine learning.

Multikonferenz Wirtschaftsinformatik 2010

Göttingen, 23. - 25. Februar 2010 ; Kurzfassungen der Beiträge

Author: Matthias Schumann

Publisher: Universitätsverlag Göttingen

ISBN: 3941875310

Category: Information technology

Page: 488

View: 2995


Perspectives on Ontology Learning

Author: J. Lehmann,J. Völker

Publisher: IOS Press

ISBN: 1614993793

Category: Computers

Page: 300

View: 4024

Perspectives on Ontology Learning brings together researchers and practitioners from different communities − natural language processing, machine learning, and the semantic web − in order to give an interdisciplinary overview of recent advances in ontology learning. Starting with a comprehensive introduction to the theoretical foundations of ontology learning methods, the edited volume presents the state-of-the-start in automated knowledge acquisition and maintenance. It outlines future challenges in this area with a special focus on technologies suitable for pushing the boundaries beyond the creation of simple taxonomical structures, as well as on problems specifically related to knowledge modeling and representation using the Web Ontology Language. Perspectives on Ontology Learning is designed for researchers in the field of semantic technologies and developers of knowledge-based applications. It covers various aspects of ontology learning including ontology quality, user interaction, scalability, knowledge acquisition from heterogeneous sources, as well as the integration with ontology engineering methodologies.

Logic for Learning

Learning Comprehensible Theories from Structured Data

Author: John W. Lloyd

Publisher: Springer Science & Business Media

ISBN: 9783540420279

Category: Computers

Page: 257

View: 7222

This book provides a systematic approach to knowledge representation, computation, and learning using higher-order logic. For those interested in computational logic, it provides a framework for knowledge representation and computation based on higher-order logic, and demonstrates its advantages over more standard approaches based on first-order logic. For those interested in machine learning, the book explains how higher-order logic provides suitable knowledge representation formalisms and hypothesis languages for machine learning applications.

Neural-Symbolic Cognitive Reasoning

Author: Artur S. D'Avila Garcez,Luís C. Lamb,Dov M. Gabbay

Publisher: Springer Science & Business Media

ISBN: 3540732454

Category: Computers

Page: 197

View: 3122

This book explores why, regarding practical reasoning, humans are sometimes still faster than artificial intelligence systems. It is the first to offer a self-contained presentation of neural network models for many computer science logics.

Foundations of Rule Learning

Author: Johannes Fürnkranz,Dragan Gamberger,Nada Lavrač

Publisher: Springer Science & Business Media

ISBN: 3540751971

Category: Computers

Page: 334

View: 9758

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.

Rethinking University Teaching

A Conversational Framework for the Effective Use of Learning Technologies

Author: Diana Laurillard

Publisher: Psychology Press

ISBN: 9780415256797

Category: Education

Page: 268

View: 8327

This book argues that the promises made für e-learning will only be realised if we begin with an understanding of how students learn, and design the use of learning technologies from this standpoint.

The Design of Everyday Things

Psychologie und Design der alltäglichen Dinge

Author: Norman Don

Publisher: Vahlen

ISBN: 3800648105

Category: Business & Economics

Page: 320

View: 5366

Apple, Audi, Braun oder Samsung machen es vor: Gutes Design ist heute eine kritische Voraussetzung für erfolgreiche Produkte. Dieser Klassiker beschreibt die fundamentalen Prinzipien, um Dinge des täglichen Gebrauchs umzuwandeln in unterhaltsame und zufriedenstellende Produkte. Don Norman fordert ein Zusammenspiel von Mensch und Technologie mit dem Ziel, dass Designer und Produktentwickler die Bedürfnisse, Fähigkeiten und Handlungsweisen der Nutzer in den Vordergrund stellen und Designs an diesen angepasst werden. The Design of Everyday Things ist eine informative und spannende Einführung für Designer, Marketer, Produktentwickler und für alle an gutem Design interessierten Menschen. Zum Autor Don Norman ist emeritierter Professor für Kognitionswissenschaften. Er lehrte an der University of California in San Diego und der Northwest University in Illinois. Mitte der Neunzigerjahre leitete Don Norman die Advanced Technology Group bei Apple. Dort prägte er den Begriff der User Experience, um über die reine Benutzbarkeit hinaus eine ganzheitliche Erfahrung der Anwender im Umgang mit Technik in den Vordergrund zu stellen. Norman ist Mitbegründer der Beratungsfirma Nielsen Norman Group und hat unter anderem Autohersteller von BMW bis Toyota beraten. „Keiner kommt an Don Norman vorbei, wenn es um Fragen zu einem Design geht, das sich am Menschen orientiert.“ Brand Eins 7/2013 „Design ist einer der wichtigsten Wettbewerbsvorteile. Dieses Buch macht Spaß zu lesen und ist von größter Bedeutung.” Tom Peters, Co-Autor von „Auf der Suche nach Spitzenleistungen“

Agriculture in Transition

A Neo-institutional Analysis

Author: Pierluigi Milone

Publisher: Uitgeverij Van Gorcum

ISBN: 9789023245001

Category: Agricultural innovations

Page: 256

View: 3523


AI Magazine

Author: N.A

Publisher: N.A


Category: Artificial intelligence

Page: N.A

View: 4069


Rough Sets and Knowledge Technology

Third International Conference, RSKT 2008, Chengdu, China, May 17-19, 2008, Proceedings

Author: Guoyin Wang,Tianrui Li,Jerzy W. Grzymala-Busse,Duoqian Miao,Yiyu Y. Yao

Publisher: Springer Science & Business Media

ISBN: 3540797203

Category: Computers

Page: 765

View: 5501

This book constitutes the refereed proceedings of the Third International Conference on Rough Sets and Knowledge Technology, RSKT 2008, held in Chengdu, China, in May 2008. The 91 revised full papers papers presented together with 3 keynote papers and 6 tutorial papers were carefully reviewed and selected from 184 submissions. They all focus on five major research fields: computing theory and paradigms, knowledge technology, intelligent information processing, intelligent control, and applications. The papers are organized in topical sections on rough and soft computing, rough mereology with applications, dominance-based rough set approach, fuzzy-rough hybridization, granular computing, logical and mathematical foundations, formal concept analysis, data mining, machine learning, intelligent information processing, bioinformatics and cognitive informatics, web intelligence, pattern recognition, and real-life applications of knowledge technology.

Inductive Logic Programming

18th International Conference, ILP 2008 Prague, Czech Republic, September 10-12, 2008, Proceedings

Author: Filip Železný

Publisher: Springer Science & Business Media

ISBN: 3540859276

Category: Computers

Page: 347

View: 5583

This book constitutes the refereed proceedings of the 18th International Conference on Inductive Logic Programming, ILP 2008, held in Prague, Czech Republic, in September 2008. The 20 revised full papers presented together with the abstracts of 5 invited lectures were carefully reviewed and selected during two rounds of reviewing and improvement from 46 initial submissions. All current topics in inductive logic programming are covered, ranging from theoretical and methodological issues to advanced applications. The papers present original results in the first-order logic representation framework, explore novel logic induction frameworks, and address also new areas such as statistical relational learning, graph mining, or the semantic Web.

The Learning Self

Understanding the Potential for Transformation

Author: Mark Tennant

Publisher: John Wiley & Sons

ISBN: 1118206762

Category: Education

Page: 224

View: 9886

PRAISE FOR THE LEARNING SELF "In this age of self-help, the 'self' is a term thrown around with abandon. For educators, the notion of self-directed learning is a key concept. Yet the notion of self is deeply problematic, even contentious. The world has needed a book that deftly and accessibly takes the idea of the self and looks at it in a sympathetic but critical way. Mark Tennant has written that book. It is a highly readable and fascinating deconstruction of this key idea that will be appreciated by all helping professionals." —STEPHEN BROOKFIELD, Distinguished University Professor, University of St. Thomas, Minneapolis-St. Paul "An excellent contribution to the field! This is a clearly written text that takes the reader far beyond much contemporary work in psychology and learning. It opens up new ways of thinking about the learning self and provides a significant contribution to transformative learning theory. This is a book that should be read by every student of psychology, learning, and the self." —PETER JARVIS, professor emeritus of continuing education, University of Surrey, United Kingdom

Theoretical Advances and Applications of Fuzzy Logic and Soft Computing

Author: Oscar Castillo,Patricia Melin,Oscar Montiel Ross,Roberto Sepúlveda Cruz,Witold Pedrycz

Publisher: Springer Science & Business Media

ISBN: 3540724346

Category: Mathematics

Page: 626

View: 3727

This book comprises a selection of papers on theoretical advances and applications of fuzzy logic and soft computing from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007. These papers constitute an important contribution to the theory and applications of fuzzy logic and soft computing methodologies.

Genetic Algorithms and Fuzzy Logic Systems

Soft Computing Perspectives

Author: Elie Sanchez,Takanori Shibata,Lotfi Asker Zadeh

Publisher: World Scientific

ISBN: 9789810224233

Category: Computers

Page: 240

View: 6146

Ever since fuzzy logic was introduced by Lotfi Zadeh in the mid-sixties and genetic algorithms by John Holland in the early seventies, these two fields widely been subjects of academic research the world over. During the last few years, they have been experiencing extremely rapid growth in the industrial world, where they have been shown to be very effective in solving real-world problems. These two substantial fields, together with neurocomputing techniques, are recognized as major parts of soft computing: a set of computing technologies already riding the waves of the next century to produce the human-centered intelligent systems of tomorrow; the collection of papers presented in this book shows the way. The book also contains an extensive bibliography on fuzzy logic and genetic algorithms.

Abstraction in Artificial Intelligence and Complex Systems

Author: Lorenza Saitta,Jean-Daniel Zucker

Publisher: Springer Science & Business Media

ISBN: 1461470528

Category: Computers

Page: 484

View: 5182

Abstraction is a fundamental mechanism underlying both human and artificial perception, representation of knowledge, reasoning and learning. This mechanism plays a crucial role in many disciplines, notably Computer Programming, Natural and Artificial Vision, Complex Systems, Artificial Intelligence and Machine Learning, Art, and Cognitive Sciences. This book first provides the reader with an overview of the notions of abstraction proposed in various disciplines by comparing both commonalities and differences. After discussing the characterizing properties of abstraction, a formal model, the KRA model, is presented to capture them. This model makes the notion of abstraction easily applicable by means of the introduction of a set of abstraction operators and abstraction patterns, reusable across different domains and applications. It is the impact of abstraction in Artificial Intelligence, Complex Systems and Machine Learning which creates the core of the book. A general framework, based on the KRA model, is presented, and its pragmatic power is illustrated with three case studies: Model-based diagnosis, Cartographic Generalization, and learning Hierarchical Hidden Markov Models.

Computational Intelligence

Principles, Techniques and Applications

Author: Amit Konar

Publisher: Springer Science & Business Media

ISBN: 3540273352

Category: Mathematics

Page: 708

View: 450

Computational Intelligence: Principles, Techniques and Applications presents both theories and applications of computational intelligence in a clear, precise and highly comprehensive style. The textbook addresses the fundamental aspects of fuzzy sets and logic, neural networks, evolutionary computing and belief networks. The application areas include fuzzy databases, fuzzy control, image understanding, expert systems, object recognition, criminal investigation, telecommunication networks, and intelligent robots. The book contains many numerical examples and homework problems with sufficient hints so that the students can solve them on their own.