Handbook of defeasible reasoning and uncertainty management systems. Vol. 4, Abductive reasoning and learning
[Book]
editors, Dov M. Gabbay and Philippe Smets.
Dordrecht ; London
Springer
2011
1 volume ; 24 cm
Originally published: 2000.
On the Relation between Abduction and Inductive Learning; P.A. Flach, A.C. Kakas. Part I: Logical Approaches. AI Approaches to Abduction; G. Paul. Abduction in Labelled Deductive Systems; D.M. Gabbay. Logical Characterisations of Inductive Learning; P.A. Flach. Abduction in Machine Learning; F. Bergadano, V. Cutello, D. Gunetti. Part II: Numerical Approaches. An Overview of Ordinal and Numerical Approaches to Causal Diagnostic Problem Solving; D. Dubois, H. Prade. Abductive Inference with Probabilistic Networks; C. Borgelt, R. Kruse. Learning from Data: Possibilistic Graphical Models; J. Gebhardt. Independence in Uncertainty Theories and its Applications to Learning Belief Networks; L.M. de Campos, J.F. Huete, S. Moral. Index.