Learning an interpretable model from an ensemble in ILP
Anneleen Van Assche, Jan Ramon, Hendrik Blockeel · Lirias · 2006
Abstract. In this paper a method to learn a single interpretable model from a relational ensemble is presented. The new model is obtained by artificially generating partial data examples using the distributions implicit in the ensemble and by building a new relational model from this artificial data. 1