Learning with continuous experts using drifting games

DOI10.1016/j.tcs.2010.04.004zbMath1192.68532OpenAlexW2168172131MaRDI QIDQ982637

Robert E. Schapire, Indraneel Mukherjee

Publication date: 7 July 2010

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tcs.2010.04.004

zbMATH Keywords

on-line learningexpert advicedrifting game

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• AdaBoost.MH

Cites Work

• Ulam's searching game with a fixed number of lies
• The weighted majority algorithm
• A decision-theoretic generalization of on-line learning and an application to boosting
• Drifting games and Brownian motion
• Boosting a weak learning algorithm by majority
• How to use expert advice
• Continuous Experts and the Binning Algorithm
• Convex Analysis
• Drifting games

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