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- Rademacher_complexity abstract "In statistics and machine learning, Rademacher complexity, named after Hans Rademacher, measures richness of a class of real-valued functions with respect to a probability distribution.Given a training sample , and a hypotheses set (where is a class of real-valued functions defined on a domain space ), the empirical Rademacher complexity of is defined as:where are independent random variables such that for . The random variables are referred to as Rademacher variables.Let be a probability distribution over . The Rademacher complexity of the function class with respect to for sample size is: where the above expectation is taken over an identically independently distributed (i.i.d.) sample generated according to .One can show, for example, that there exists a constant , such that any class of -indicator functions with Vapnik-Chervonenkis dimension has Rademacher complexity upper-bounded by .".
- Rademacher_complexity wikiPageID "14529261".
- Rademacher_complexity wikiPageRevisionID "550053385".
- Rademacher_complexity hasPhotoCollection Rademacher_complexity.
- Rademacher_complexity subject Category:Decision_theory.
- Rademacher_complexity subject Category:Machine_learning.
- Rademacher_complexity subject Category:Measures_of_complexity.
- Rademacher_complexity comment "In statistics and machine learning, Rademacher complexity, named after Hans Rademacher, measures richness of a class of real-valued functions with respect to a probability distribution.Given a training sample , and a hypotheses set (where is a class of real-valued functions defined on a domain space ), the empirical Rademacher complexity of is defined as:where are independent random variables such that for .".
- Rademacher_complexity label "Rademacher complexity".
- Rademacher_complexity sameAs m.03d6hwg.
- Rademacher_complexity sameAs Q7280104.
- Rademacher_complexity sameAs Q7280104.
- Rademacher_complexity wasDerivedFrom Rademacher_complexity?oldid=550053385.
- Rademacher_complexity isPrimaryTopicOf Rademacher_complexity.