Verwandte Artikel zu Algorithmic Learning Theory: 11th International Conference,...
Algorithmic Learning Theory: 11th International Conference, ALT 2000 Sydney, Australia, December 11-13, 2000 Proceedings: 1968 (Lecture Notes in Computer Science) - Softcover
Inhaltsangabe
This volume contains all the papers presented at the Eleventh International C- ference on Algorithmic Learning Theory (ALT 2000) held at Coogee Holiday Inn, Sydney,Australia,11-13 December 2000. The conference was sponsored by the School of Computer Science and Engineering,University of New South Wales, and supported by the IFIP Working Group 1.4 on Computational Learning T- ory and the Computer Science Association (CSA) of Australia. In response to the call for papers 39 submissions were received on all aspects of algorithmic learning theory. Out of these 22 papers were accepted for p- sentation by the program committee. In addition,there were three invited talks by William Cohen (Whizbang Labs),Tom Dietterich (Oregon State Univeristy), and Osamu Watanabe (Tokyo Institute of Technology). This year’s conference is the last in the millenium and eleventh overall in the ALT series. The ?rst ALT workshop was held in Tokyo in 1990. It was merged with the workshop on Analogical and Inductive Inference in 1994. The conf- ence focuses on all areas related to algorithmic learning theory,including (but not limited to) the design and analysis of learning algorithms,the theory of machine learning,computational logic of/for machine discovery,inductive inf- ence,learning via queries,new learning models,scienti?c discovery,learning by analogy,arti?cial and biological neural networks,pattern recognition,statistical learning,Bayesian/MDL estimation,inductive logic programming,data m- ing and knowledge discovery,and application of learning to biological sequence analysis. In the current conference there were papers from a variety of the above areas,refelecting both the theoretical as well as practical aspects of learning.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Reseña del editor
This volume contains all the papers presented at the Eleventh International C- ference on Algorithmic Learning Theory (ALT 2000) held at Coogee Holiday Inn, Sydney,Australia,11-13 December 2000. The conference was sponsored by the School of Computer Science and Engineering,University of New South Wales, and supported by the IFIP Working Group 1.4 on Computational Learning T- ory and the Computer Science Association (CSA) of Australia. In response to the call for papers 39 submissions were received on all aspects of algorithmic learning theory. Out of these 22 papers were accepted for p- sentation by the program committee. In addition,there were three invited talks by William Cohen (Whizbang Labs),Tom Dietterich (Oregon State Univeristy), and Osamu Watanabe (Tokyo Institute of Technology). This year's conference is the last in the millenium and eleventh overall in the ALT series. The ?rst ALT workshop was held in Tokyo in 1990. It was merged with the workshop on Analogical and Inductive Inference in 1994. The conf- ence focuses on all areas related to algorithmic learning theory,including (but not limited to) the design and analysis of learning algorithms,the theory of machine learning,computational logic of/for machine discovery,inductive inf- ence,learning via queries,new learning models,scienti?c discovery,learning by analogy,arti?cial and biological neural networks,pattern recognition,statistical learning,Bayesian/MDL estimation,inductive logic programming,data m- ing and knowledge discovery,and application of learning to biological sequence analysis. In the current conference there were papers from a variety of the above areas,refelecting both the theoretical as well as practical aspects of learning.
Reseña del editor
This book constitutes the refereed proceedings of the 11th International Conference on Algorithmic Learning Theory, ALT 2000, held in Sydney, Australia in December 2000.
The 22 revised full papers presented together with three invited papers were carefully reviewed and selected from 39 submissions. The papers are organized in topical sections on statistical learning, inductive logic programming, inductive inference, complexity, neural networks and other paradigms, support vector machines.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 58,25
EUR 13,79 für den Versand von Vereinigtes Königreich nach USA
Versandziele, Kosten & DauerSuchergebnisse für Algorithmic Learning Theory: 11th International Conference,...
Beispielbild für diese ISBN
Algorithmic Learning Theory: 11th International Conference, ALT 2000 Sydney, Australia, December 11-13, 2000, Proceedings
Verlag:
Springer Verlag, New York, 2000
ISBN 10: 3540412379
ISBN 13: 9783540412373
Gebraucht
Hardcover
Anbieter: Doss-Haus Books, Redondo Beach, CA, USA
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: Very Good. No Jacket. Hardcover 2000 library bound edition. Ex-library book with stamps and labels attached. Binding firm. Pages unmarked and clean. Laminated covers and text in very good condition. Series : Lecture notes in artificial intelligence ;1968 [xi, 333 p. : ill. ; 24 cm]. Artikel-Nr. 011791
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Algorithmic Learning Theory: 11th International Conference, ALT 2000 Sydney, Australia, December 11-13, 2000 Proceedings (Lecture Notes in Computer Science, 1968)
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. In. Artikel-Nr. ria9783540412373_new
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Algorithmic Learning Theory : 11th International Conference, ALT 2000 Sydney, Australia, December 11-13, 2000 Proceedings
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume contains all the papers presented at the Eleventh International C- ference on Algorithmic Learning Theory (ALT 2000) held at Coogee Holiday Inn, Sydney,Australia,11 13 December 2000. The conference was sponsored by the School of Computer Science and Engineering,University of New South Wales, and supported by the IFIP Working Group 1.4 on Computational Learning T- ory and the Computer Science Association (CSA) of Australia. In response to the call for papers 39 submissions were received on all aspects of algorithmic learning theory. Out of these 22 papers were accepted for p- sentation by the program committee. In addition,there were three invited talks by William Cohen (Whizbang Labs),Tom Dietterich (Oregon State Univeristy), and Osamu Watanabe (Tokyo Institute of Technology). This year s conference is the last in the millenium and eleventh overall in the ALT series. The rst ALT workshop was held in Tokyo in 1990. It was merged with the workshop on Analogical and Inductive Inference in 1994. The conf- ence focuses on all areas related to algorithmic learning theory,including (but not limited to) the design and analysis of learning algorithms,the theory of machine learning,computational logic of/for machine discovery,inductive inf- ence,learning via queries,new learning models,scienti c discovery,learning by analogy,arti cial and biological neural networks,pattern recognition,statistical learning,Bayesian/MDL estimation,inductive logic programming,data m- ing and knowledge discovery,and application of learning to biological sequence analysis. In the current conference there were papers from a variety of the above areas,refelecting both the theoretical as well as practical aspects of learning. Artikel-Nr. 9783540412373
Anzahl: 1 verfügbar