Skip to search formSkip to main contentSkip to account menu

Rademacher complexity

Known as: Rademacher 
In computational learning theory (machine learning and theory of computation), Rademacher complexity, named after Hans Rademacher, measures richness… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2011
2011
The article is devoted to algebraic properties of the multi-level system of molecular-genetic alphabets. It leads to help solve… 
2011
2011
Let <i>C</i> be a binary linear block code of length <i>n</i>, dimension <i>k</i> and minimum Hamming distance <i>d</i> over GF(2… 
2007
2007
where σ1, ...σn are iid Rademacher random variables. Rn(F ) characterizes the extent to which the functions in F can be best… 
2006
2006
A Qk(R n )-valued function is essentially a rule assigning k unordered and non necessarily distinct elements of R n to each… 
2004
2004
Three experiments were conducted to investigate the effect of paclobutrazol on shoot and cambial growth of nine tree species… 
2001
2001
We deal with the performance bounding of fuzzy ARTMAP and other ART-based neural network architectures, such as boosted ARTMAP… 
2000
2000
We show that a Rademacher expansion can be used to establish an exact bound for the entropy of black holes within a conformal… 
1992
1992
In [A & G], the authors introuced the so-called generalized Rademacher functions and used the to prove that every continuous… 
1959
1959
Let o n (t) (n = 0, 1, 2, • • •) be the Rademacher functions, that is, let q) n (t) _ (-1) J for j/2 n < t,,, (j + 1)/2 n Given…