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A View of Computational Learning Theory

2007
The distribution-free or “pac” approach to machine learning is described. The motivations, basic definitions and some of the more important results in this theory are summarized.
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Humanlike computational learning theory. A computational semiotics perspective

AFRICON 2009, 2009
Focussing on the development of smart interfaces for smart environments one has to meet the challenge that these interfaces need a kind of intelligence which resembles human intelligence sufficiently. Part of this humanlike intelligence is the ability to learn from an environment those properties which are relevant for human persons and to be able to ...
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From Computational Learning Theory to Discovery Science

1999
Machine learning has been one of the important subjects of AI that is motivated by many real world applications. In theoretical computer science, researchers also have introduced mathematical frameworks for investigating machine learning, and in these frameworks, many interesting results have been obtained. Now we are proceeding to a new stage to study
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Neural Computation Theories of Learning

2008
Samat Moldakarimov   +1 more
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An investigation of the thermal behavior of constructal theory-based pore-scale porous media by using a combination of computational fluid dynamics and machine learning

International Journal of Heat and Mass Transfer, 2022
Mehrdad Mesgarpour   +2 more
exaly  

Computational Grounded Theory: A Methodological Framework

Sociological Methods and Research, 2020
Laura K Nelson
exaly  

**Computational Learning Theory

2007
Igor Kononenko, Matjaž Kukar
openaire   +1 more source

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