Articles liés à Regularization and learning theory

Regularization and learning theory - Couverture souple

Sahoo, Jajati Keshari

 
9783659768903: Regularization and learning theory
Couverture souple
ISBN 10 : 3659768901 ISBN 13 : 9783659768903
Editeur : LAP LAMBERT Academic Publishing, 2015

Synopsis

Regularization theory mainly used in the branch of mathematics and in particular in the fields of machine learning and inverse problems. This concept used in order to solve an ill-posed inverse 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. Conversion of machine learning problems to ill-posed inverse and how we can apply these techniques in real life problem should be learned. This books gives little idea to do the above job.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Regularization theory mainly used in the branch of mathematics and in particular in the fields of machine learning and inverse problems. This concept used in order to solve an ill-posed inverse 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. Conversion of machine learning problems to ill-posed inverse and how we can apply these techniques in real life problem should be learned. This books gives little idea to do the above job.

Biographie de l'auteur

Dr. Jajati Keshari Sahoo is Assistant Professor and joined at the Department of Mathematics, BITS Pilani K K Birla Goa Campus in 2009. He completed his Ph.D. from IIT Madras(India), 2010. He has over 5 year of teaching and research experience. His area of interest are machine learning, regularization theory, operator theory, SVM, neural network.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2015
Langue
anglais
ISBN 10 
3659768901
ISBN 13 
9783659768903
Reliure
Broché
Nombre de pages
104
Coordonnées du fabricant
non disponible
Personne responsable
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