Probabilistic numerics: computation as machine learning
Auteur :
Hennig, Philipp / Osborne, Michael A. / Kersting, Hans P.
Éditeur :
Cambridge University Press
ISBN :
9781107163447
Date de publication :
30 juin 2022
Dimensions :
26,0 x 20,8 x 2,3 cm
Poids :
1160 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
This text provides a first comprehensive introduction to probabilistic numerics, aimed at Masters' and PhD students, as well as postgraduate researchers in artificial intelligence, computer science, statistics, and applied mathematics. It contains extensive background material, and uses figures, exercises, and worked examples to develop intuition.