July 2017
Intermediate to advanced
360 pages
8h 26m
English
Content preview from Machine Learning Algorithms
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PAC learning
In many cases machine learning seems to work seamlessly, but is there any way to determine formally the learnability of a concept? In 1984, the computer scientist L. Valiant proposed a mathematical approach to determine whether a problem is learnable by a computer. The name of this technique is PAC, or probably approximately correct.
The original formulation (you can read it in Valiant L., A Theory of the Learnable, Communications of the ACM, Vol. 27, No. 11 , Nov. 1984) is based on a particular hypothesis, however, without a considerable loss of precision, we can think about a classification problem where an algorithm A has to learn a set of concepts. In particular, a concept is a subset of input patterns X which determine the ...
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