Phase transitions in machine learning
Auteur :
Saitta, Lorenza / Giordana, Attilio / Cornuéjols, Antoine
Éditeur :
Cambridge University Press
ISBN :
9780521763912
Date de publication :
16 juin 2011
Dimensions :
25,4 x 19,5 x 2,7 cm
Poids :
1100 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
This state-of-the-art overview describes how phase transitions occur and teaches appropriate methods for tackling the consequent problems. Weaving together fundamental aspects of computer science, statistical physics and machine learning, it provides sufficient mathematics and physics background to make the subject intelligible to researchers in AI and other computer science communities.