regularization procedures can be divided in many ways, the following delineation is particularly helpful: Explicit regularization is regularization whenever...

Regularization (linguistics) Regularization (mathematics) Regularization (physics) Regularization (solid modeling) Regularization Law, an Israeli law intended...

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

squares. A more general approach to Tikhonov regularization is discussed below. Tikhonov regularization was invented independently in many different contexts...

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

be fractals. It has been argued that zeta function regularization and dimensional regularization are equivalent since they use the same principle of...

function as in Tikhonov regularization. Tikhonov regularization, along with principal component regression and many other regularization schemes, fall under...

inspiration for later attempts at regularization and renormalization in quantum field theory. (See also regularization (physics) for an alternative way...

not always possible to define a regularization such that the limit of ε going to zero is independent of the regularization. In this case, one says that the...

used in machine learning tasks as the data model and classifier regularization (mathematics). The applications include recommender system (communities as...

autoencoder Data pre-processing Convolutional neural network Regularization (mathematics) Data preparation Data fusion Dempster, A.P.; Laird, N.M.; Rubin...

implementation of this strategy is called zeta function regularization. In zeta function regularization, the series ∑ n = 1 ∞ n {\textstyle \sum _{n=1}^{\infty...

problem". USSR Computational Mathematics and Mathematical Physics. 6 (4): 28–33. doi:10.1016/0041-5553(66)90003-6. Regularization Stone–Čech compactification...

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

reference. Quantum triviality Scale invariance Schröder's equation Regularization (physics) Density matrix renormalization group Functional renormalization...

In mathematics and economics, transportation theory or transport theory is a name given to the study of optimal transportation and allocation of resources...

regression Regularization (mathematics) Shrinkage estimation in the estimation of covariance matrices Stein's example Tikhonov regularization Everitt B...

Manifold regularization adds a second regularization term, the intrinsic regularizer, to the ambient regularizer used in standard Tikhonov regularization. Under...

that may be corrected simultaneously. Overdetermined system Regularization (mathematics) Biswa Nath Datta (4 February 2010). Numerical Linear Algebra...

This can be implicit or explicit. Channel model Inverse problem Regularization (mathematics) Blind equalization Maximum a posteriori estimation Maximum likelihood...

In mathematics, the upper and lower incomplete gamma functions are types of special functions which arise as solutions to various mathematical problems...

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

orientation, such as methods for solving ill-posed problems (Tikhonov regularization). Tikhonov also created the theory of differential equations with a...

sensing Sparse dictionary learning K-SVD Lasso (statistics) Regularization (mathematics) and inverse problems Donoho, D.L. and Elad, M. (2003). "Optimally...

estimator can be derived both from a regularization and a Bayesian perspective. The main assumption in the regularization perspective is that the set of functions...

increased and not decreased (as intended). Explained variance Regularization (mathematics) Botev, Z.; Ridder, A. (2017). "Variance Reduction". Wiley StatsRef:...

processing, total variation denoising, also known as total variation regularization or total variation filtering, is a noise removal process (filter). It...

In mathematics, the beta function, also called the Euler integral of the first kind, is a special function that is closely related to the gamma function...

consistency are guaranteed as well. Regularization can solve the overfitting problem and give the problem stability. Regularization can be accomplished by restricting...

achievements in mathematics. These include mathematical research, mathematics education,: xii  the history and philosophy of mathematics, public outreach...