Machine Learning course- Shai Ben-David: Lecture 4
CS 485/685, University of Waterloo. Jan 16, 2015.
Extensions of the definition of PAC learnability to various more realistic scenarios. The basic notion of representative samples
and how it implies the success of ERM learners (a.k.a. learning by uniform convergence).
Видео Machine Learning course- Shai Ben-David: Lecture 4 канала Understanding Machine Learning - Shai Ben-David
Extensions of the definition of PAC learnability to various more realistic scenarios. The basic notion of representative samples
and how it implies the success of ERM learners (a.k.a. learning by uniform convergence).
Видео Machine Learning course- Shai Ben-David: Lecture 4 канала Understanding Machine Learning - Shai Ben-David
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21 января 2015 г. 4:23:10
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