A novel method for creating diverse ensembles of image classifiers is proposed. The idea is that, for each base image classifier in the ensemble, a random image transformation is g...
Abstract. The purpose of the present paper is to examine the relationships between target and concatenation costs and the quality (with focus on naturalness) of generated speech. S...
A polynomial-time algorithm is presented for partitioning a collection of sporadic tasks among the processors of an identical multiprocessor platform with static-priority scheduli...
Nathan Fisher, Sanjoy K. Baruah, Theodore P. Baker
Abstract- Ant algorithms have generated significant research interest within the search/optimisation community in recent years. Hyperheuristic research is concerned with the devel...
Edmund K. Burke, Graham Kendall, Dario Landa Silva...
Meta-learning is an efficient approach in the field of machine learning, which involves multiple classifiers. In this paper, a meta-learning framework consisting of stacking meta-...