In high-level synthesis, accurate lower-bound estimation is helpful to explore the search space efficiently and to evaluate the quality of heuristic algorithms. For the lower-bound...
This paper focuses on inductive learning of recursive logical theories from a set of examples. This is a complex task where the learning of one predicate definition should be inter...
Margherita Berardi, Antonio Varlaro, Donato Malerb...
A method for learning multivariate time series classifiers by inductive logic programming is presented. Two types of background predicate that are suited for this task are introduc...
We show how global constraints such as transitivity can be treated intensionally in a Zero-One Integer Linear Programming (ILP) framework which is geared to find the optimal and c...
To continue to improve processor performance, microarchitects seek to increase the effective instruction level parallelism (ILP) that can be exploited in applications. A fundament...