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- Regularization_(mathematics) abstract "Regularization, in mathematics and statistics and particularly in the fields of machine learning and inverse problems, refers to a process of introducing additional information in order to solve an ill-posed problem or to prevent overfitting. This information is usually of the form of a penalty for complexity, such as restrictions for smoothness or bounds on the vector space norm.A theoretical justification for regularization is that it attempts to impose Occam's razor on the solution. From a Bayesian point of view, many regularization techniques correspond to imposing certain prior distributions on model parameters.The same idea arose in many fields of science. For example, the least-squares method can be viewed as a very simple form of regularization. A simple form of regularization applied to integral equations, generally termed Tikhonov regularization after Andrey Nikolayevich Tikhonov, is essentially a trade-off between fitting the data and reducing a norm of the solution. More recently, non-linear regularization methods, including total variation regularization have become popular.".
- Regularization_(mathematics) wikiPageExternalLink ~neum.
- Regularization_(mathematics) wikiPageExternalLink regtutorial.pdf.
- Regularization_(mathematics) wikiPageID "2009061".
- Regularization_(mathematics) wikiPageRevisionID "604574554".
- Regularization_(mathematics) hasPhotoCollection Regularization_(mathematics).
- Regularization_(mathematics) subject Category:Inverse_problems.
- Regularization_(mathematics) subject Category:Mathematical_analysis.
- Regularization_(mathematics) type Abstraction100002137.
- Regularization_(mathematics) type Attribute100024264.
- Regularization_(mathematics) type Condition113920835.
- Regularization_(mathematics) type Difficulty114408086.
- Regularization_(mathematics) type InverseProblems.
- Regularization_(mathematics) type Problem114410605.
- Regularization_(mathematics) type State100024720.
- Regularization_(mathematics) comment "Regularization, in mathematics and statistics and particularly in the fields of machine learning and inverse problems, refers to a process of introducing additional information in order to solve an ill-posed problem or to prevent overfitting. This information is usually of the form of a penalty for complexity, such as restrictions for smoothness or bounds on the vector space norm.A theoretical justification for regularization is that it attempts to impose Occam's razor on the solution.".
- Regularization_(mathematics) label "Regolarizzazione (matematica)".
- Regularization_(mathematics) label "Regularization (mathematics)".
- Regularization_(mathematics) label "Регуляризация (математика)".
- Regularization_(mathematics) sameAs Régularisation_(mathématiques).
- Regularization_(mathematics) sameAs Regolarizzazione_(matematica).
- Regularization_(mathematics) sameAs m.06dqp2.
- Regularization_(mathematics) sameAs Q2061913.
- Regularization_(mathematics) sameAs Q2061913.
- Regularization_(mathematics) sameAs Regularization_(mathematics).
- Regularization_(mathematics) wasDerivedFrom Regularization_(mathematics)?oldid=604574554.
- Regularization_(mathematics) isPrimaryTopicOf Regularization_(mathematics).