Learning in ultrametric committee machines

DOI10.1007/s10955-012-0636-1zbMath1266.82048OpenAlexW2033431507MaRDI QIDQ1938814

J. P. Neirotti

Publication date: 25 February 2013

Published in: Journal of Statistical Physics (Search for Journal in Brave)

Full work available at URL: https://publications.aston.ac.uk/id/eprint/17948/1/Learning_in_ultrametric_committee_machines.pdf

zbMATH Keywords

multilayer networkslearning by examples

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Neural nets applied to problems in time-dependent statistical mechanics (82C32)

Cites Work

• Computational capabilities of multilayer committee machines
• Parallel strategy for optimal learning in perceptrons
• Learning a rule in a multilayer neural network
• Can a student learn optimally from two different teachers?

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