Grafik für das Drucken der Seite Abbildung von Shi / Iyengar | Mathematical Theories of Machine Learning - Theory and Applications | 1. Auflage | 2019 | beck-shop.de
eBook

Shi / Iyengar

Mathematical Theories of Machine Learning - Theory and Applications

sofort lieferbar!

93.08 €

Preisangaben inkl. MwSt. Abhängig von der Lieferadresse kann die MwSt. an der Kasse variieren. Weitere Informationen

eBook. PDF

eBook

2019

133 S. XXI, 133 p. 25 illus., 24 illus. in color..

In englischer Sprache

Springer International Publishing. ISBN 978-3-030-17076-9

Produktbeschreibung

This book studies mathematical theories of machine learning. The first part of the book explores the optimality and adaptivity of choosing step sizes of gradient descent for escaping strict saddle points in non-convex optimization problems. In the second part, the authors propose algorithms to find local minima in nonconvex optimization and to obtain global minima in some degree from the Newton Second Law without friction. In the third part, the authors study the problem of subspace clustering with noisy and missing data, which is a problem well-motivated by practical applications data subject to stochastic Gaussian noise and/or incomplete data with uniformly missing entries. In the last part, the authors introduce an novel VAR model with Elastic-Net regularization and its equivalent Bayesian model allowing for both a stable sparsity and a group selection.

Topseller & Empfehlungen für Sie

Ihre zuletzt angesehenen Produkte

Autorinnen/Autoren

  • Rezensionen

    Dieses Set enthält folgende Produkte:
      Auch in folgendem Set erhältlich:
      • nach oben

        Ihre Daten werden geladen ...