Arimura Hiroki (18 results)

Hardcover. Condition: 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].

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Condition: Good. 333 pp., ex library, else textually clean & tight, softcover. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

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Condition: New. These papers on algorithmic learning theory are organized in topical sections on statistical learning, inductive logic programming, inductive inference, complexity, neural networks and other paradigms, support vector machines. Editor(s): Arimura, Hiroki; Jain, Sanjay; Sharma, Arun. Series: Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence. Num Pages: 348 pages, biography. BIC Classification: UMB; UYQM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 18. Weight in Grams: 505. . 2000. Paperback. . . . .

Condition: New. These papers on algorithmic learning theory are organized in topical sections on statistical learning, inductive logic programming, inductive inference, complexity, neural networks and other paradigms, support vector machines. Editor(s): Arimura, Hiroki; Jain, Sanjay; Sharma, Arun. Series: Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence. Num Pages: 348 pages, biography. BIC Classification: UMB; UYQM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 18. Weight in Grams: 505. . 2000. Paperback. . . . . Books ship from the US and Ireland.

Taschenbuch. Condition: 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.

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 360 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. INVITED LECTURES.- Extracting Information from the Web for Concept Learning and Collaborative Filtering.- The Divide-and-Conquer Manifesto.- Sequential Sampling Techniques for Algorithmic Learning Theory.- REGULAR CONTRIBUTIONS.- Towards an Algorithmic Stat.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 360 pp. Englisch.

Taschenbuch. Condition: Neu. Algorithmic Learning Theory | 11th International Conference, ALT 2000 Sydney, Australia, December 11-13, 2000 Proceedings | Hiroki Arimura (u. a.) | Taschenbuch | xii | Englisch | 2000 | Springer | EAN 9783540412373 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.