Three fundamental concepts of the capacity of learning machines

DOI10.1016/0378-4371(93)90558-LzbMath0799.60032OpenAlexW2065847304MaRDI QIDQ1330342

Vladimir Vapnik

Publication date: 18 July 1994

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-4371(93)90558-l

zbMATH Keywords

rate of convergencecapacity of learning machines

Mathematics Subject Classification ID

Limit theorems in probability theory (60F99)

Related Items (2)

LS-SVM approximate solution for affine nonlinear systems with partially unknown functions ⋮ A tight upper bound on the generalization error of feedforward neural networks

Cites Work

• Estimation of dependences based on empirical data. Transl. from the Russian by Samuel Kotz

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