Abstract. We introduce a new genetic algorithm approach for learning a Bayesian network structure from data. Our method is capable of learning over all node orderings and structure...
Accurately reconstructing the large-scale gene order in an ancestral genome is a critical step to better understand genome evolution. In this paper, we propose a heuristic algorit...
Jian Ma, Aakrosh Ratan, Brian J. Raney, Bernard B....
Abstract. I describe a modification to Shanks' baby-step giant-step algorithm for computing the order n of an element g of a group G, assuming n is finite. My method has the a...
Abstract. One of the main problems associated with arti cial neural networks online learning methods is the estimation of model order. In this paper, we report about a new approach...
—This paper presents a new method to study the capability of an underactuated hand to produce form-closed grasps. First, the stability behaviours of different underactuated paral...