Inductive Logic Programming (ILP) systems have been successfully applied to solve complex problems in bioinformatics by viewing them as binary classification tasks. It remains an...
Huma Lodhi, Stephen Muggleton, Michael J. E. Stern...
Real-world automated reasoning systems must contend with inconsistencies and the vast amount of information stored in relational databases. In this paper, we introduce compilation...
Timothy L. Hinrichs, Jui-Yi Kao, Michael R. Genese...
Inductive Logic Programming (ILP) is a combination of inductive learning and first-order logic aiming to learn first-order hypotheses from training examples. ILP has a serious b...
In this paper we present a system level technique for mapping large, multiple-IP-block designs to channel-width constrained FPGAs. Most FPGA clustering tools [2, 3, 11] aim to red...
1 Adaptive teaching does not usually rhyme with large number of students in class. Given the small amount of face to face and the disproportionate ratio, teachers have to use their...