Logic for learning: learning comprehensible theories from structured data
Auteur :
Lloyd, J. W.
Éditeur :
Lloyd, J. W.
ISBN :
9783540420279
Date de publication :
1 nov. 2002
Dimensions :
23,4 x 15,6 x 1,5 cm
Poids :
1230 g
Format :
Laminated cover
Langue :
Anglais
Pays d'origine :
Allemagne
Provides a framework for knowledge representation and computation based on higher-order logic, and demonstrates its advantages over more standard approaches based on first-order logic. This book explains how higher-order logic provides suitable knowledge representation formalisms and hypothesis languages for machine learning applications.