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

problems, regularization is a process that converts the answer of a problem to a simpler one. It is often used in solving ill-posed problems or to prevent...

't Hooft and Veltman for regularizing integrals in the evaluation of Feynman diagrams; in other words, assigning values to them that are meromorphic...

as Tikhonov regularization, named for Andrey Tikhonov, it is a method of regularization of ill-posed problems. It is particularly useful to mitigate the...

regularized regression method that linearly combines the L1 and L2 penalties of the lasso and ridge methods. Nevertheless, Elastic Net regularization...

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

Pauli–Villars regularization (P–V) is a procedure that isolates divergent terms from finite parts in loop calculations in field theory in order to renormalize...

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

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

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

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

Zeldovich regularization refers to a regularization method to calculate divergent integrals and divergent series, that was first introduced by Yakov Zeldovich...

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

(a,b)}}.} The regularized incomplete beta function is the cumulative distribution function of the beta distribution, and is related to the cumulative...

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

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

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

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...

field theories are not exactly solvable, they are immensely appealing due to their feasibility for computer simulation, often using Markov chain Monte...

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