Machine learning (ML) models, especially large pretrained deep learning (DL) models, are of high economic value and must be properly protected with regard ...

Les élans passionnels nous emportent sans nous dire où ni jusqu'où. Comment expliquer ces mouvements "en nous" qui ne sont pas "de ...

In image processing, "motions by curvature" provide an efficient way to smooth curves representing the boundaries of objects. In such a motion, each ...

In der Diskussion über Sprache in Bildungskontexten geht man davon aus, dass diese sogenannte „Bildungssprache" durch verschiedene grammatische ...

This text is an Elementary Introduction to Stochastic Processes in discrete and continuous time with an initiation of the statistical inference. The material ...

1 Arrangements Efi Fogel, Dan Halperin, Lutz Kettner, Monique Teillaud, Ron Wein, Nicola Wolpert 1.1 Introduction 1.2 Chronicles 1.3 Exact Construction ...

This book develops alternative methods to estimate the unknown parameters in stochastic volatility models, offering a new approach to test model accuracy. ...

Approach your problems from the right end It isn't that they can't see the solution. It is and begin with the answers. Then one day, that they can't see ...

Cet ouvrage présente différents points de vue sur une même méthode, l'analyse des correspondances. Il montre comment cette ...

This book presents the latest results related to one- and two-way models for time series data. Analysis of variance (ANOVA) is a classical statistical ...