Analytic information theory: from compression to learning
Auteur :
Drmota, Michael / Szpankowski, Wojciech
Éditeur :
Cambridge University Press
ISBN :
9781108474443
Date de publication :
7 sept. 2023
Dimensions :
26,1 x 18,5 x 2,7 cm
Poids :
904 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
Aimed at graduate students and researchers interested in information theory and the analysis of algorithms, this book explores problems of information and learning theory, demonstrating how to use tools from analytic combinatorics to discover and analyze precise behavior of source codes.