cesa bianchi nicolo (10 Ergebnisse)

Hardcover. Zustand: Very Good. No Jacket. Hardcover 2002 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 ;2533. [xi, 413 p. ; 24 cm].

Hardcover. Zustand: Fair. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

hardcover. Zustand: Very Good.

Zustand: New.

Zustand: New. pp. xii + 394 Illus.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume contains the papers presented at the 13th Annual Conference on Algorithmic Learning Theory (ALT 2002), which was held in Lub eck (Germany) during November 24-26, 2002. The main objective of the conference was to p- vide an interdisciplinary forum discussing the theoretical foundations of machine learning as well as their relevance to practical applications. The conference was colocated with the Fifth International Conference on Discovery Science (DS 2002). The volume includes 26 technical contributions which were selected by the program committee from 49 submissions. It also contains the ALT 2002 invited talks presented by Susumu Hayashi (Kobe University, Japan) on 'Mathematics Based on Learning', by John Shawe-Taylor (Royal Holloway University of L- don, UK) on 'On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum', and by Ian H. Witten (University of Waikato, New Zealand) on 'Learning Structure from Sequences, with Applications in a Digital Library' (joint invited talk with DS 2002). Furthermore, this volume - cludes abstracts of the invited talks for DS 2002 presented by Gerhard Widmer (Austrian Research Institute for Arti cial Intelligence, Vienna) on 'In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project' and by Rudolf Kruse (University of Magdeburg, Germany) on 'Data Mining with Graphical Models'. The complete versions of these papers are published in the DS 2002 proceedings (Lecture Notes in Arti cial Intelligence, Vol. 2534). ALT has been awarding the E.

Taschenbuch. Zustand: Neu. Algorithmic Learning Theory | 13th International Conference, ALT 2002, Lübeck, Germany, November 24-26, 2002, Proceedings | Nicolò Cesa-Bianchi (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2002 | Springer-Verlag GmbH | EAN 9783540001706 | Verantwortliche Person für die EU: Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu.

Softcover. Zustand: Gut. Gebraucht - Gut Zustand: Gut, XI, 415 p. About this book This book constitutes the refereed proceedings of the 13th International Conference on Algorithmic Learning Theory, ALT 2002, held in Lübeck, Germany in November 2002. The 26 revised full papers presented together with 5 invited contributions and an introduction were carefully reviewed and selected from 49 submissions. The papers are organized in topical sections on learning Boolean functions, boosting and margin-based learning, learning with queries, learning and information extraction, inductive inference, inductive logic programming, language learning, statistical learning, and applications and heuristics. Written for research and development professionals.

Hardcover. Zustand: Brand New. new title edition. 406 pages. 10.00x7.00x1.00 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This important new text and reference for researchers and students in machine learning, game theory, statistics and information theory offers the first comprehensive treatment of the problem of predicting individual sequences. Unlike standard statistical approaches to forecasting, prediction of individual sequences does not impose any probabilistic assumption on the data-generating mechanism. Yet, prediction algorithms can be constructed that work well for all possible sequences, in the sense that their performance is always nearly as good as the best forecasting strategy in a given reference class. The central theme is the model of prediction using expert advice, a general framework within which many related problems can be cast and discussed. Repeated game playing, adaptive data compression, sequential investment in the stock market, sequential pattern analysis, and several other problems are viewed as instances of the experts' framework and analyzed from a common nonstochastic standpoint that often reveals new and intriguing connections. Old and new forecasting methods are described in a mathematically precise way in order to characterize their theoretical limitations and possibilities.