Описание: Describes advanced statistical modeling and knowledge representation techniques for an area of machine learning and probabilistic reasoning. This volume includes introductory material, tutorials for different proposed approaches, and applications.
Автор: M?ller Название: Relational Knowledge Discovery ISBN: 052112204X ISBN-13(EAN): 9780521122047 Издательство: Cambridge Academ Рейтинг: Цена: 3746 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: What is knowledge and how is it represented? This book focuses on the idea of formalising knowledge as relations, interpreting knowledge represented in databases or logic programs as relational data and discovering new knowledge by identifying hidden and defining new relations. After a brief introduction to representational issues, the author develops a relational language for abstract machine learning problems. He then uses this language to discuss traditional methods such as clustering and decision tree induction, before moving onto two previously underestimated topics that are just coming to the fore: rough set data analysis and inductive logic programming. Its clear and precise presentation is ideal for undergraduate computer science students. The book will also interest those who study artificial intelligence or machine learning at the graduate level. Exercises are provided and each concept is introduced using the same example domain, making it easier to compare the individual properties of different approaches.
Описание: This book constitutes the thoroughly refereed joint postproceedings of the 8th International Seminar on Relational Methods in Computer Science, the 3rd International Workshop on Applications of Kleene Algebra, and the Workshop of COST Action 274. The 17 revised full papers presented together with 3 invited papers address foundational and methodological aspects of the calculi of relations and Kleene algebra, and their application in various areas of computer science and information processing.
Описание: Human language and our use of it to communicate or to understand the world requires deriving relations among events: for example, if A=B and A=C, then B=C. Relational frame theory argues that such performances are at the heart of any meaningful psychology of language and cognition. From a very early age, human beings learn relations of similarity, difference, comparison, time, and so on, and modify what they do in a given situation based on its derived relation to others situations and what is known about them. This volume goes beyond theory and gives the empirical and conceptual tools to conduct an experimental analysis of virtually every substantive topic in human language and cognition, both basic and applied. As the term `post-Skinnerian' suggests, this volume challenges behavioral psychology to abandon many of the specific theoretical formulations of its most prominent historical leader in the domain of complex human behavior, especially in human language and cognition, and approach the field from a new direction.The need for a pragmatically useful analysis of language and cognition is as enormous and varied as its extensions and applications. This volume will be of interest not only to behavior theorists but also to cognitive psychologists, therapists, educators, and anyone studying the human condition.
Описание: This book constitutes the thoroughly refereed joint postproceedings of the 7th International Seminar on Relational Methods in Computer Science and the 2nd International Workshop on Applications of Kleene Algebra held in Bad Malente, Germany in May 2003.The 21 revised full papers presented were carefully selected during two rounds of reviewing and improvement. The papers address foundational and methodological aspects of the calculi of relations and Kleene algebra as well as applications of such methods in various areas of computer science and information processing.
Описание: This monograph presents the latest advances of fuzzy logic and soft computing in reservoir characterization and modeling. It proposes for the first time that future develoments require perception-based information processing. The book presents important steps in this direction by introducing fuzzy partial differential equations and relational equations. It provides a unique opportunity for soft computing researchers and oil industry practitioners to understand the significance of the changes in the fields by presenting recent accomplishments and new directions.
Описание: This book constitutes the thoroughly refereed joint post-proceedings of the 6th International Conference on Relational Methods in Computer Science, RelMICS 2001 and the 1st Workshop of COST Action 274 TARSKI, Theory and Application of Relational Structures as Knowledge Instruments held in Oisterwijk, The Netherlands, in October 2001.The 20 revised full papers presented together with an invited paper were carefully reviewed and selected. The papers are organized in topical sections on algebraic and logical foundations of real world relations, mechanization of relational reasoning, and relational scaling and preferences.
Автор: Dzeroski Saso, Lavrac Nada Название: Relational Data Mining ISBN: 3540422897 ISBN-13(EAN): 9783540422891 Издательство: Springer Рейтинг: Цена: 13089 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. The first part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductive logic programming; subsequent chapters by leading experts assess the techniques in relational data mining in a principled and comprehensive way; finally, three chapters deal with advanced applications in various fields and refer the reader to resources for relational data mining.This book will become a valuable source of reference for R&D professionals active in relational data mining. Students as well as IT professionals and ambitioned practitioners interested in learning about relational data mining will appreciate the book as a useful text and gentle introduction to this exciting new field.
Описание: Develop New Insight into the Behavior of Adaptive Systems This one-of-a-kind interactive book and CD-ROM will help you develop a better understanding of the behavior of adaptive systs. Developed as part of a project aimed at innovating the teaching of adaptive systems in science and engineering, it unifies the concepts of neural networks and adaptive filters into a common framework. It begins by explaining the fundamentals of adaptive linear regression and builds on these concepts to explore pattern classification, function approximation, feature extraction, and time-series modeling/prediction. The text is integrated with the industry standard neural network/adaptive system simulator NeuroSolutions. This allows the authors to demonstrate and reinforce key concepts using over 200 interactive examples. Each of these examples is live, allowing the user to change parameters and experiment first-hand with real-world adaptive systems. This creates a powerful environment for learning through both visualization and experimentation. Key Features of the TextThe text and CD combine to become an interactive learning tool. Emphasis is on understanding the behavior of adaptive systems rather than mathematical derivations. Each key concept is followed by an interactive example. Over 200 fully functional simulations of adaptive systems are included. The text and CD offer a unified view of neural networks, adaptive filters, pattern recognition, and support vector machines. Hyperlinks allow instant access to keyword definitions, bibliographic references, equations, and advanced discussions of concepts. The CD-ROM Contains: A complete, electronic version of the text in hypertext formatNeuroSolutions, an industry standard, icon-based neural network/adaptive system simulatorA tutorial on how to use NeuroSolutionsAdditional data files to use with the simulator"An innovative approach to describing neurocomputing and adaptive learning systems from a perspective which unifies classical linear adaptive systems approaches with the modern advances in neural networks. It is rich in examples and practical insight. " James Zeidler, University of California, San Diego
Автор: Aiguier Название: Complex Systems Design & Management ISBN: 3642156533 ISBN-13(EAN): 9783642156533 Издательство: Springer Рейтинг: Цена: 28892 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A book that contains various refereed papers that were accepted to the `Complex Systems Design & Management` (CSDM 2010) international conference that took place in Paris (France), October 27 - 29, 2010.
Описание: Presents ways in which adaptive information technologies, techniques, protocols and architectures, such as software agent technologies and multi-agent systems, can be used to support the development of real-world agent-based systems in the area of e-Environment.
Описание: Human error plays a significant role in many accidents involving safety-critical systems, and it is now a standard requirement in both the US and Europe for Human Factors (HF) to be taken into account in system design and safety assessment. This book will be an essential guide for anyone who uses HF in their everyday work, providing them with consistent and ready-to-use procedures and methods that can be applied to real-life problems. The first part of the book looks at the theoretical framework, methods and techniques that the engineer or safety analyst needs to use when working on a HF-related project. The second part presents four case studies that show the reader how the above framework and guidelines work in practice. The case studies are based on real-life projects carried out by the author for a major European railway system, and in collaboration with international companies such as the International Civil Aviation Organisation, Volvo, Daimler-Chrysler and FIAT.
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