Nested Relations and Complex Objects in Databases, Serge Abiteboul; Patrick C. Fischer; Hans-J?rg Sch

Автор: Steven L. Salzberg
Название: Learning with Nested Generalized Exemplars
ISBN: 0792391101 ISBN-13(EAN): 9780792391104
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Machine Learning is one of the oldest and most intriguing areas of Ar- tificial Intelligence. From the moment that computer visionaries first began to conceive the potential for general-purpose symbolic computa- tion, the concept of a machine that could learn by itself has been an ever present goal. Today, although there have been many implemented com- puter programs that can be said to learn, we are still far from achieving the lofty visions of self-organizing automata that spring to mind when we think of machine learning. We have established some base camps and scaled some of the foothills of this epic intellectual adventure, but we are still far from the lofty peaks that the imagination conjures up. Nevertheless, a solid foundation of theory and technique has begun to develop around a variety of specialized learning tasks. Such tasks in- clude discovery of optimal or effective parameter settings for controlling processes, automatic acquisition or refinement of rules for controlling behavior in rule-driven systems, and automatic classification and di- agnosis of items on the basis of their features. Contributions include algorithms for optimal parameter estimation, feedback and adaptation algorithms, strategies for credit/blame assignment, techniques for rule and category acquisition, theoretical results dealing with learnability of various classes by formal automata, and empirical investigations of the abilities of many different learning algorithms in a diversity of applica- tion areas.

Автор: Paolo Atzeni
Название: LOGIDATA+: Deductive Databases with Complex Objects
ISBN: 354056974X ISBN-13(EAN): 9783540569749
Издательство: Springer
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Цена: 9781.00 р.
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Описание: A collection of research papers describing the results achieved by the LOGIDATA+ project, a programme funded by the Italian national research council CNR. The aim of the project was to define advanced database systems which significantly extend the functions of systems currently available.

Автор: Christian Walloth
Название: Emergent Nested Systems
ISBN: 3319275488 ISBN-13(EAN): 9783319275482
Издательство: Springer
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Цена: 15672.00 р.
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Описание: Complex Systems and Man's Desire to Understand and Influence Them.- A Theory of Emergent Nested Systems.- Understanding and Influencing Emergent Nested Systems.- Reflections and Outlook.

Автор: Mark Levene
Название: The Nested Universal Relation Database Model
ISBN: 3540554939 ISBN-13(EAN): 9783540554936
Издательство: Springer
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Цена: 9781.00 р.
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Автор: Steven L. Salzberg
Название: Learning with Nested Generalized Exemplars
ISBN: 1461288304 ISBN-13(EAN): 9781461288305
Издательство: Springer
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Цена: 17749.00 р.
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Описание: Machine Learning is one of the oldest and most intriguing areas of Ar- tificial Intelligence. From the moment that computer visionaries first began to conceive the potential for general-purpose symbolic computa- tion, the concept of a machine that could learn by itself has been an ever present goal. Today, although there have been many implemented com- puter programs that can be said to learn, we are still far from achieving the lofty visions of self-organizing automata that spring to mind when we think of machine learning. We have established some base camps and scaled some of the foothills of this epic intellectual adventure, but we are still far from the lofty peaks that the imagination conjures up. Nevertheless, a solid foundation of theory and technique has begun to develop around a variety of specialized learning tasks. Such tasks in- clude discovery of optimal or effective parameter settings for controlling processes, automatic acquisition or refinement of rules for controlling behavior in rule-driven systems, and automatic classification and di- agnosis of items on the basis of their features. Contributions include algorithms for optimal parameter estimation, feedback and adaptation algorithms, strategies for credit/blame assignment, techniques for rule and category acquisition, theoretical results dealing with learnability of various classes by formal automata, and empirical investigations of the abilities of many different learning algorithms in a diversity of applica- tion areas.

Автор: Leyuan Shi; Sigurdur ?lafsson
Название: Nested Partitions Method, Theory and Applications
ISBN: 1441944206 ISBN-13(EAN): 9781441944207
Издательство: Springer
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Цена: 14673.00 р.
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Описание: There is an ever-increasing need to solve optimization problems in a wide variety of science and engineering applications. This up-to-date and highly relevant book provides a cutting-edge research tool to use for large-scale, complex systems optimization.

Автор: Klaus R. Dittrich; Giovanna Guerrini; Isabella Mer
Название: Objects and Databases
ISBN: 3540416641 ISBN-13(EAN): 9783540416647
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This text constitutes the post-proceedings of the International Symposium on Objects and Databases held in Sophia Antipolis, France in June 2000. It offers topical sections on persistence, clustering, schema evolution, data mining and data warehouse, and miscellaneous.

Автор: Kamada Tomihisa
Название: Visualizing Abstract Objects And Relations
ISBN: 9810200099 ISBN-13(EAN): 9789810200091
Издательство: World Scientific Publishing
Цена: 9979.00 р.
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Описание: Pictorial representations are very useful for humans to understand complicated relations or structures. This is the reason that the user interface of information systems is strongly required to visualize many kinds of information in a wide variety of graphical forms. At present, however, only some very specialized visualization techniques have been developed probably because the generality in the visualization has not been appreciated correctly. This book presents a visualization framework for translating abstract objects and relations, typically represented in textual forms, into pictorial representations, and describes a general visualization interface based on this framework. In the framework, abstract objects and relations are mapped to graphical objects and relations by user-defined mapping rules. The declarative nature of the mapping rules provides users with more global and more flexible layout capabilities. Also presented is an algorithm for drawing general undirected graphs which can be used to visualize network structures as network diagrams. The proposed visualization framework is shown to be general enough to be applied to various types of visualization problems, such as the visualization of semantics of natural language sentences, the generation of diagrams for data structures and program structures, and the drawing of database schema. Examples of all these problems are shown with actual mapping rules and pictorial results.

Автор: Robert John Nicholas Baldock
Название: Classical Statistical Mechanics with Nested Sampling
ISBN: 3319667688 ISBN-13(EAN): 9783319667683
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This thesis develops a nested sampling algorithm into a black box tool for directly calculating the partition function, and thus the complete phase diagram of a material, from the interatomic potential energy function.

Автор: Rainer Thiel
Название: Nested Games of External Democracy Promotion
ISBN: 3531177699 ISBN-13(EAN): 9783531177694
Издательство: Springer
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Цена: 10480.00 р.
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