Abstract. In this paper we define a new similarity measure, the nonbreaking similarity, which is the complement of the famous breakpoint distance between genomes (in general, betw...
Zhixiang Chen, Bin Fu, Jinhui Xu, Bo-Ting Yang, Zh...
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
This paper discusses and compares several policies to place replicas in tree networks, subject to server capacity and QoS constraints. The client requests are known beforehand, wh...
Abstract. The recently proposed notion of an elementary set yielded a refinement of the theorem on loop formulas, telling us that the stable models of a disjunctive logic program ...
A series of recent algorithmic advances has delivered highly effective methods for pairing evaluation and parameter generation. However, the resulting multitude of options means m...