Learning from a population of hypotheses

DOI10.1007/BF00993412zbMath0831.68090OpenAlexW4253977344MaRDI QIDQ1900976

H. Sebastian Seung, Michael Kearns

Publication date: 29 October 1995

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00993412

zbMATH Keywords

learning algorithmPAC learninglearning agents

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Estimation of dependences based on empirical data. Transl. from the Russian by Samuel Kotz
• Decision theoretic generalizations of the PAC model for neural net and other learning applications
• Central limit theorems for empirical measures
• Bounds on the sample complexity of Bayesian learning using information theory and the VC dimension
• How to use expert advice
• On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
• Convergence of stochastic processes

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