Logical and Relational Learning

Author: Luc De Raedt

Publisher: Springer Science & Business Media

ISBN: 3540200401

Category: Computers

Page: 387

View: 8544

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.

Perspectives on Ontology Learning

Author: J. Lehmann,J. Völker

Publisher: IOS Press

ISBN: 1614993793

Category: Computers

Page: 300

View: 4643

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.

Inductive Logic Programming

21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 -- August 3, 2011, Revised Selected Papers

Author: Stephen Muggleton,Alireza Tamaddoni-Nezhad,Francesca A. Lisi

Publisher: Springer

ISBN: 3642319513

Category: Computers

Page: 406

View: 6244

This book constitutes the thoroughly refereed post-proceedings of the 21st International Conference on Inductive Logic Programming, ILP 2011, held in Windsor Great Park, UK, in July/August 2011. The 24 revised full papers were carefully reviewed and selected from 66 submissions. Also included are five extended abstracts and three invited talks. The papers represent the diversity and vitality in present ILP research including ILP theory, implementations, probabilistic ILP, biological applications, sub-group discovery, grammatical inference, relational kernels, learning of Petri nets, spatial learning, graph-based learning, and learning of action models.

Logic for Learning

Learning Comprehensible Theories from Structured Data

Author: John W. Lloyd

Publisher: Springer Science & Business Media

ISBN: 9783540420279

Category: Computers

Page: 256

View: 6606

This book is concerned with the rich and fruitful interplay between the fields of computational logic and machine learning. The intended audience is senior undergraduates, graduate students, and researchers in either of those fields. For those in computational logic, no previous knowledge of machine learning is assumed and, for those in machine learning, no previous knowledge of computational logic is assumed. The logic used throughout the book is a higher-order one. Higher-order logic is already heavily used in some parts of computer science, for example, theoretical computer science, functional programming, and hardware verifica tion, mainly because of its great expressive power. Similar motivations apply here as well: higher-order functions can have other functions as arguments and this capability can be exploited to provide abstractions for knowledge representation, methods for constructing predicates, and a foundation for logic-based computation. The book should be of interest to researchers in machine learning, espe cially those who study learning methods for structured data. Machine learn ing applications are becoming increasingly concerned with applications for which the individuals that are the subject of learning have complex struc ture. Typical applications include text learning for the World Wide Web and bioinformatics. Traditional methods for such applications usually involve the extraction of features to reduce the problem to one of attribute-value learning.

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: 6796

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.

The Design of Everyday Things

Psychologie und Design der alltäglichen Dinge

Author: Norman Don

Publisher: Vahlen

ISBN: 3800648105

Category: Business & Economics

Page: 320

View: 3219

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“

Inductive Logic Programming

22nd International Conference, ILP 2012, Dubrovnik, Croatia, September 16-18,2012, Revised Selected papers

Author: Fabrizio Riguzzi,Filip Zelezny

Publisher: Springer

ISBN: 3642388124

Category: Mathematics

Page: 273

View: 7259

This book constitutes the thoroughly refereed post-proceedings of the 22nd International Conference on Inductive Logic Programming, ILP 2012, held in Dubrovnik, Croatia, in September 2012. The 18 revised full papers were carefully reviewed and selected from 41 submissions. The papers cover the following topics: propositionalization, logical foundations, implementations, probabilistic ILP, applications in robotics and biology, grammatical inference, spatial learning and graph-based learning.

Rough Sets and Knowledge Technology

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

Author: Guoyin Wang

Publisher: Springer Science & Business Media

ISBN: 3540797203

Category: Computers

Page: 765

View: 668

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.

Foundations of Rule Learning

Author: Johannes Fürnkranz,Dragan Gamberger,Nada Lavrač

Publisher: Springer Science & Business Media

ISBN: 3540751971

Category: Computers

Page: 334

View: 6440

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.

Produktplanung im Fuzzy Front End

Handlungsunterstützungssystem auf der Basis von Fuzzy Cognitive Maps

Author: Antonie Jetter

Publisher: Springer-Verlag

ISBN: 3322821579

Category: Business & Economics

Page: 487

View: 8545

Antonie Jetter präsentiert ein neuartiges Handlungsunterstützungssystem (HAUS) für die frühen Phasen der Produkentwicklung / für das Fuzzy Front End, mit dem das System "Entwicklungsprojekt" modelliert und seine Dynamik durch Simulation erfasst wird. Die theoretische Basis für das HAUS liefern Forschungsarbeiten der Handlungspsychologie. Methodisch stützt sich das System auf verknüpfte Teilmodelle der Entwicklungssituation, die durch das qualitative Modellierungsverfahren der Fuzzy Cognitive Maps (FCMs) erstellt werden. Aufbau und Nutzung des HAUS werden am Beispiel eines realen Entwicklungsprojektes konkretisiert und auf ihre Machbarkeit hin geprüft.

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: 3871

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.

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: 9126

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.

Computational Intelligence

Principles, Techniques and Applications

Author: Amit Konar

Publisher: Springer Science & Business Media

ISBN: 3540273352

Category: Mathematics

Page: 708

View: 4837

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.

AI Magazine

Author: N.A

Publisher: N.A


Category: Artificial intelligence

Page: N.A

View: 7857


Agriculture in Transition

A Neo-institutional Analysis

Author: Pierluigi Milone

Publisher: Uitgeverij Van Gorcum

ISBN: 9789023245001

Category: Agricultural innovations

Page: 256

View: 1220


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: 9691

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.

Das Denken von Kindern

Author: Robert S. Siegler

Publisher: Walter de Gruyter GmbH & Co KG

ISBN: 3486806424

Category: Psychology

Page: 560

View: 4949

Bis in die jüngste Vergangenheit blieb uns der Zugang zu vielen der interessanten Aspekte des Denkens von Kindern verwehrt. Philosophen haben sich Jahrhunderte lang darum gestritten, ob Säuglinge die Welt als "strahlendes und dröhnendes Durcheinander" sehen oder ganz ähnlich wie ältere Kinder und Erwachsene. Erst mit der Entwicklung aufschlußreicher experimenteller Methoden in den vergangenen Jahren wurde die Antwort deutlich. Sogar Neugeborene sehen bestimmte Aspekte der Welt recht klar und mit 6 Monaten ähnelt die Wahrnehmung von Säuglingen der von Erwachsenen. Dies und andere Erkenntnisse über das Denken von Kindern sind Gegenstand dieses Buches.