Elisa Fromont and René Quiniou and Marie-Odile Cordier Apprentissage multisource par programmation logique inductive , RFIA 2006 (Congrès Reconnaissance des Formes et Intelligence Artificielle) , Presse universitaires François-Rabelais , Tours , Vol. 2 , 115 , Janvier , 2006 , Document Abstract This paper aims at formalizing the concept of learning rules from multisource using inductive logic programming. In order to cope with the dimensionality problems of multisource learning, we propose a two-step strategy. Firstly, rules are learned independently from each sources. Secondly, the learned rules are used to bias a new learning process from the aggregated data. Our method has been implemented and evaluated on learning from data describing cardiac behaviors from different viewpoints, here electrocardiograms and arterial blood pressure measures. The results show that the proposed method is much more efficient than learning directly from the aggregated data. Furthermore, it yields rules having better or equal accuracy than rules obtained by monosource learning. This web site is maintained by René Quiniou using the Weave system from the Caravel project: http://www-caravel.inria.fr. Last modification: 10-07-2011 09:54:25 Version française