Active machine learning algorithms are used when large numbers of unlabeled examples are available and getting labels for them is costly (e.g. requiring consulting a human expert)...
This paper presents a new Memetic Algorithm designed to compute near optimal solutions for the MinLA problem. It incorporates a highly specialized crossover operator, a fast MinLA ...
Eduardo Rodriguez-Tello, Jin-Kao Hao, Jose Torres-...
Partitioned BDD-based algorithms have been proposed in the literature to solve the memory explosion problem in BDD-based verification. A naive parallelization of such algorithms ...
Debashis Sahoo, Jawahar Jain, Subramanian K. Iyer,...
Abstract. The development of scalable parallel database systems requires the design of efficient algorithms for the join operation which is the most frequent and expensive operatio...
The multi-armed bandit problem for a gambler is to decide which arm of a K-slot machine to pull to maximize his total reward in a series of trials. Many real-world learning and opt...