Abstract (EN):
Inductive Logic Programming (ILP) is a Machine Learning research field that has been quite successful in knowledge discovery in relational domains. ILP systems use a set of pre-classified examples (positive and negative) and prior knowledge to learn a theory in which positive examples succeed and the negative examples fail. In this paper we present a novel ILP system called April, capable of exploring several parallel strategies in distributed and shared memory machines.
Idioma:
Inglês
Tipo (Avaliação Docente):
Científica
Contacto:
nf@ncc.up.pt; fds@ncc.up.pt; rcamacho@fe.up.pt
Nº de páginas:
4
Tipo de Licença: