Search results

Look up regularization, regularisation, or regularizations in Wiktionary, the free dictionary. Regularization may refer to: Regularization (linguistics)...

computer science, particularly in machine learning and inverse problems, regularization is a process that changes the result answer to be "simpler". It is often...

In physics, especially quantum field theory, regularization is a method of modifying observables which have singularities in order to make them finite...

Regularized least squares (RLS) is a family of methods for solving the least-squares problem while using regularization to further constrain the resulting...

In theoretical physics, dimensional regularization is a method introduced by Giambiagi and Bollini as well as – independently and more comprehensively...

In mathematics and theoretical physics, zeta function regularization is a type of regularization or summability method that assigns finite values to divergent...

In theoretical physics, Pauli–Villars regularization (P–V) is a procedure that isolates divergent terms from finite parts in loop calculations in field...

fitting of linear or logistic regression models, the elastic net is a regularized regression method that linearly combines the L1 and L2 penalties of the...

engineering. Also known as Tikhonov regularization, named for Andrey Tikhonov, it is a method of regularization of ill-posed problems. It is particularly...

Regularization is a linguistic phenomenon observed in language acquisition, language development, and language change typified by the replacement of irregular...

mathematics, Hadamard regularization (also called Hadamard finite part or Hadamard's partie finie) is a method of regularizing divergent integrals by...

degree a + b - 1 with rational coefficients. The regularized incomplete beta function (or regularized beta function for short) is defined in terms of the...

matrix regularization generalizes notions of vector regularization to cases where the object to be learned is a matrix. The purpose of regularization is to...

sparsity regularization is a class of methods, and an area of research in statistical learning theory, that extend and generalize sparsity regularization learning...

In machine learning, Manifold regularization is a technique for using the shape of a dataset to constrain the functions that should be learned on that...

Spectral regularization is any of a class of regularization techniques used in machine learning to control the impact of noise and prevent overfitting...

In physics and applied mathematics, analytical regularization is a technique used to convert boundary value problems which can be written as Fredholm integral...

Regularized Inglish is a revised English spelling system devised and advocated by Swedish linguist Axel Wijk, set out in his 1959 book Regularized English:...

regularization Lattice regularization Zeta function regularization Causal perturbation theory Hadamard regularization Point-splitting regularization v...

{\displaystyle P(a,x)} — Regularized Lower Incomplete Gamma Function Calculator Q ( a , x ) {\displaystyle Q(a,x)} — Regularized Upper Incomplete Gamma...