Learning Theory

Author/creator Shawe-Taylor, John Volume Editor
Other author Singer, Yoram Volume Editor
Format Electronic
Publication InfoNew York : Springer
Descriptionx, 648 p. ill 23.500 x 015.500 cm.
Supplemental ContentFull text available from Springer Books
Supplemental ContentFull text available from SpringerLINK Lecture Notes in Computer Science Contemporary (1997-present)
Subjects

SeriesLecture Notes in Computer Science Ser. Lecture Notes in Artificial Intelligence Ser.
Summary Annotation This book constitutes the refereed proceedings of the 17th Annual Conference on Learning Theory, COLT 2004, held in Banff, Canada in July 2004.The 46 revised full papers presented were carefully reviewed and selected from a total of 113 submissions. The papers are organized in topical sections on economics and game theory, online learning, inductive inference, probabilistic models, Boolean function learning, empirical processes, MDL, generalisation, clustering and distributed learning, boosting, kernels and probabilities, kernels and kernel matrices, and open problems.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
ISBN9783540222828
ISBN3540222820 (Mixed Media) Active Record
Standard identifier# 9783540222828
Stock number3540222820 00024965

Availability

Library Location Call Number Status Item Actions
Electronic Resources ✔ Available