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Theory

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Saved by olivier
on June 25, 2006 at 9:43:25 pm
 

Mathematical Foundations of Learning Theory

 

Machine Learning relates to many different domains: data analysis, data processing, information retrieval, statistics, knowledge discovery, reasoning under uncertainty...

 

But the main distinguishing feature of the learning problem is that it requires a form of reasoning which is non-deductive: it requires induction, transduction, abduction or generalization.

 

As a result, the learning problem has its roots in the following theories

 

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