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Some notes on computational learning theory

1991
The background of the computational learning theory is recalled and the two main components of the pac learning model, i.e. the statistical and computational component, are presented. In particular, a useful combinatorial tool, the Vapnick-Chervonenkis dimension, is introduced. Finally, some applications to neural networks are shown.
Bertoni, A   +2 more
openaire   +2 more sources

**Computational Learning Theory

2007
Igor Kononenko, Matjaž Kukar
openaire   +1 more source

Computational Learning Theory and Natural Learning Systems, Volume 2

1994
As with Volume I, this second volume represents a synthesis of issues in three historically distinct areas of learning research: computational learning theory, neural network research, and symbolic machine learning. While the first volume provided a forum for building a science of computational learning across fields, this volume attempts to define ...
openaire   +1 more source

Computational learning theory

Defense, Security, and Sensing, 1992
R. Raghavan
semanticscholar   +1 more source

Recent advances in computational modeling of MOFs: From molecular simulations to machine learning

Coordination Chemistry Reviews, 2023
Hakan Demir   +2 more
exaly  

Neural Computation Theories of Learning

2008
Samat Moldakarimov   +1 more
openaire   +1 more source

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