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A View of Computational Learning Theory
2007The 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, 2009Focussing 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
1999Machine 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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Computational Grounded Theory: A Methodological Framework
Sociological Methods and Research, 2020Laura K Nelson
exaly
A 1996 snapshot of computational learning theory
ACM Computing Surveys, 1996openaire +1 more source

