How to Use Expert Advice (1997)

by Nicolò Cesa-Bianchi , Yoav Freund , David Haussler , David P. Helmbold , Robert E. Schapire , Manfred K. Warmuth
Venue:JOURNAL OF THE ASSOCIATION FOR COMPUTING MACHINERY
Citations:267 - 60 self

Active Bibliography

3 Part 1: Overview of the Probably Approximately Correct (PAC) Learning Framework – David Haussler - 1995
17 How Well do Bayes Methods Work for On-Line Prediction of {±1} values? – D. Haussler, A. Barron - 1992
18 Data Filtering and Distribution Modeling Algorithms for Machine Learning – Yoav Freund, Manfred K. Warmuth, David Haussler, David P. Helmbold - 1993
!()+, -./01 23456 – Department Of Computer, David P. Dobkin, Dimitrios Gunopulos, Wolfgang Maass, Technische Universitaet Graz - 1995
106 Adaptive Game Playing Using Multiplicative Weights – Yoav Freund, Robert E. Schapire
99 Universal Prediction – Neri Merhav, Meir Feder - 1998
Dynamic Adjustment of TCP Acknowledgment Delays – Chapter Preliminaries In - 105
Exploring Applications of Learning Theory to Pattern Matching and Dynamic Adjustment of TCP Acknowledgment Delays – Stephen Donald Scott - 1998
16 Probabilistic Analysis of Learning in Artificial Neural Networks: The PAC Model and its Variants – Martin Anthony - 1994
11 Learning by Canonical Smooth Estimation, Part I: Simultaneous Estimation – Kevin L. Buescher, P. R. Kumar - 1996
37 Probably Approximately Correct Learning – David Haussler - 1990
8 Universal switching linear least squares prediction – Suleyman S. Kozat, Andrew C. Singer - 2006
58 Sequential Prediction of Individual Sequences Under General Loss Functions – David Haussler, Jyrki Kivinen, Manfred K. Warmuth - 1998
Lectures on Prediction of Individual Sequences – Gábor Lugosi - 2001
4 On the Complexity of Function Learning – Peter Auer, Philip M. Long, Wolfgang Maass, Gerhard J. Woeginger - 1994
2 Knowledge acquisition in statistical learning theory – Shai Fine - 1999
Toyota Technological Institute—Chicago – Shai Shalev-shwartz - 2008
29 Learning with Restricted Focus of Attention – Shai Ben-David, Eli Dichterman - 1997
5 Learning with Limited Visibility – Eli Dichterman - 1998