Gnostycy z Nag Hammadi

Nag 1..16

Department of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305, USA. School of Biosciences, University of Kent, Canterbury CT2 7NJ, UK. Department of Molecular, Cellular and Developmental Biology, BioFrontiers Institute, University of Colorado, Boulder, CO 80309, USA. Department of Pediatrics (Cardiology), Stanford University School of Medicine, Stanford, CA 94305, USA. ...

NAG Library Documentation

NAG Library Routine Document G13AEF

where rrs xt is the result of applying non-seasonal differencing of order d and seasonal differencing of seasonality s and order D to the series xt, as outlined in the description of G13AAF. The differenced series is then of length N 1⁄4 n d0, where d0 1⁄4 dþ D s ð Þ is the generalized order of differencing. The scalar c is the expected value of the differenced series, and the series w1; w2; . ...

NAG: Network for Adversary Generation

Adversarial perturbations can pose a serious threat for deploying machine learning systems. Recent works have shown existence of image-agnostic perturbations that can fool classifiers over most natural images. Existing methods present optimization approaches that solve for a fooling objective with an imperceptibility constraint to craft the perturbations. However, for a given classifier, they g...

Président Slim HAMMADI, Professeur, Ecole Centrale de Lille

Président Slim HAMMADI, Professeur, Ecole Centrale de Lille Rapporteur Alain QUILLIOT, Professeur, Université Blaise Pascal, Clermont-Ferrand, Rapporteur Aziz MOUKRIM, Professeur, Université de Technologie de Compiègne Membre Bernard DESCOTES-GENON, Professeur, Université Joseph Fourier, Grenoble Membre Abdelhakim ARTIBA, Professeur, Université de Valenciennes et du Hainaut -Cambrésis Directeur...