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BuchKartoniert, Paperback
403 Seiten
Englisch
Springererschienen am16.11.2010Softcover reprint of the original 1st ed. 2003
Adaptivity and learning have in recent decades become a common concern of scientific disciplines. The authors select problems showing representative traits concerning the frame up, the methods and the achievements rather than to present extended overviews.mehr
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BuchGebunden
EUR106,99
BuchKartoniert, Paperback
EUR106,99

Produkt

KlappentextAdaptivity and learning have in recent decades become a common concern of scientific disciplines. The authors select problems showing representative traits concerning the frame up, the methods and the achievements rather than to present extended overviews.
Zusammenfassung
There is no direct competition to this book which excels in the interdisciplinary case by case study of the various concepts of learning
Details
ISBN/GTIN978-3-642-05510-2
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2010
Erscheinungsdatum16.11.2010
AuflageSoftcover reprint of the original 1st ed. 2003
Seiten403 Seiten
SpracheEnglisch
IllustrationenXII, 403 p.
Artikel-Nr.10173156

Inhalt/Kritik

Inhaltsverzeichnis
Adaptivity and Learning - an Interdisciplinary Debate.- I Biology and Behaviour of Adaptation and Learning.- Biology of Adaptation and Learning.- The Adaptive Properties of the Phosphate Uptake System of Cyanobacteria: Information Storage About Environmental Phosphate Supply.- Cognitive Architecture of a Mini-Brain.- Cerebral Mechanisms of Learning Revealed by Functional Neuroimaging in Humans.- Creating Presence by Bridging Between the Past and the Future: the Role of Learning and Memory for the Organization of Life.- II Physics Approach to Learning - Neural Networks and Statistics.- The Physics Approach to Learning in Neural Networks.- Statistical Physics of Learning and Generalization.- The Statistical Physics of Learning: Phase Transitions and Dynamical Symmetry Breaking.- The Complexity of Learning with Supportvector Machines - A Statistical Physics Study.- III Mathematical Models of Learning.- Mathematics Approach to Learning.- Learning and the Art of Fault-Tolerant Guesswork.- Perspectives on Learning Symbolic Data with Connectionistic Systems.- Statistical Learning and Kernel Methods.- Inductive Versus Approximative Learning.- IV Learning by Experience.- Learning by Experience.- Learning by Experience from Others - Social Learning and Imitation in Animals and Robots.- Reinforcement Learning: a Brief Overview.- A Simple Model for Learning from Unspecific Reinforcement.- V Human-Like Cognition and AI Learning.- Aspects of Human-Like Cognition and AI Learning.- Making Robots Learn to See.- Using Machine Learning Techniques in Complex Multi-Agent Domains.- Learning Similarities for Informally Defined Objects.- Semiotic Cognitive Information Processing: Learning to Understand Discourse. A Systemic Model of Meaning Constitution.mehr

Schlagworte