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Regularization (mathematics): Regularization (mathematics), Mathematics, Inverse Problem, Ill- Posed Problem -

englanti
2026-03-17
168,40 € 224,53 €

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In mathematics and statistics, particularly in the fields of machine learning and inverse problems, regularization involves 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 regularizati ... Täydellinen kuvaus

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In mathematics and statistics, particularly in the fields of machine learning and inverse problems, regularization involves 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.

Lisätietoja

Julkaisija OmniScriptum
Julkaisuvuosi 2026
Kannen tyyppi Pehmeäkantinen
EAN 9786131120640
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Arvostelet: Regularization (mathematics): Regularization (mathematics), Mathematics, Inverse Problem, Ill- Posed Problem
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168,40 € 224,53 €