How Well do Bayes Methods Work for On-Line Prediction of {±1} values? (1992)

Cached

Download Links

by D. Haussler , A. Barron
Venue:In Proceedings of the Third NEC Symposium on Computation and Cognition. SIAM
Citations:18 - 11 self

Active Bibliography

317 How to Use Expert Advice – Nicolò Cesa-Bianchi, Yoav Freund, David Haussler, David P. Helmbold, Robert E. Schapire, Manfred K. Warmuth - 1997
5 Part 1: Overview of the Probably Approximately Correct (PAC) Learning Framework – David Haussler - 1995
111 Bounds on the sample complexity of Bayesian learning using information theory and the VC dimension – David Haussler, Michael Kearns, Robert Schapire - 1992
Abstract – David Haussler, Robert Schapire Z
682 The weighted majority algorithm – N Littlestone, M Warmuth - 1994
538 An Efficient Boosting Algorithm for Combining Preferences – Raj Dharmarajan Iyer , Jr. - 1999
2367 A Decision-Theoretic Generalization of on-Line Learning and an Application to Boosting – Yoav Freund, Robert E. Schapire - 1996
9218 The Nature of Statistical Learning Theory – Vladimir N. Vapnik - 1995
674 The strength of weak learnability – Robert E. Schapire - 1990