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Verlag: Haupt, Bern ; Stuttgart ; Wien, 2006
ISBN 10: 3258064148ISBN 13: 9783258064147
Anbieter: Gebrauchtbücherlogistik H.J. Lauterbach, Gummersbach, NRW, Deutschland
Buch
Hardcover. Zustand: Gut. 23cm XXV, 365 S. Hardcover. Zustand: Sehr Gut (Innen); Besitzerstempel (Innen); Einband Außen hat keine Gebrauchsspuren; Archivex. mit Klebestreifenrest (Außen); Topgepflegtes-Archivex.; * Die Photos sind original von uns erstellt worden, u.a. erkennbar an einem kleinen weißen Stück Papier im oberen Schnitt. Ab und an verwenden Suchmaschinen Verlagsphotos, bei den Portalen selbst, werden aber nur unsere Originalphotos gezeigt.
Verlag: Springer Berlin Heidelberg, 2003
ISBN 10: 3540000917ISBN 13: 9783540000914
Anbieter: moluna, Greven, Deutschland
Buch
Zustand: New.
Verlag: Springer Berlin Heidelberg, 2010
ISBN 10: 3642055109ISBN 13: 9783642055102
Anbieter: moluna, Greven, Deutschland
Buch
Zustand: New.
Verlag: Springer Berlin Heidelberg, 2003
ISBN 10: 3540000917ISBN 13: 9783540000914
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Adaptivity and learning have in recent decades become a common concern of scientific disciplines. These issues have arisen in mathematics, physics, biology, informatics, economics, and other fields more or less simultaneously. The aim of this publication is the interdisciplinary discourse on the phenomenon of learning and adaptivity. Different perspectives are presented and compared to find fruitful concepts for the disciplines involved. The authors select problems showing representative traits concerning the frame up, the methods and the achievements rather than to present extended overviews.
Verlag: Springer Berlin Heidelberg, 2010
ISBN 10: 3642055109ISBN 13: 9783642055102
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Adaptivity and learning have in recent decades become a common concern of scientific disciplines. These issues have arisen in mathematics, physics, biology, informatics, economics, and other fields more or less simultaneously. The aim of this publication is the interdisciplinary discourse on the phenomenon of learning and adaptivity. Different perspectives are presented and compared to find fruitful concepts for the disciplines involved. The authors select problems showing representative traits concerning the frame up, the methods and the achievements rather than to present extended overviews.To foster interdisciplinary dialogue, this book presents diverse perspectives from various scientific fields, including:- The biological perspective: e.g., physiology, behaviour;- The mathematical perspective: e.g., algorithmic and stochastic learning;- The physics perspective: e.g., learning for artificial neural networks;- The 'learning by experience' perspective: reinforcement learning, social learning, artificial life;- The cognitive perspective: e.g., deductive/inductive procedures, learning and language learning as a high level cognitive process;- The application perspective: e.g., robotics, control, knowledge engineering.