Inferring transcriptional regulatory networks from geneexpression data remains a challenging problem, in part because of the noisy nature of the data and the lack of strong networ...
ct This chapter discusses two applications aiming at evolving images in the styles of two well-known Dutch painters: Mondriaan and Escher. For both cases we have an evaluation crit...
Learning Bayesian networks from data has been studied extensively in the evolutionary algorithm communities [Larranaga96, Wong99]. We have previously explored extending some of the...
Abstract. DDH extends the idea of dynamic hashing algorithms to distributed systems. DDH spreads data across multiple servers in a network using a novel autonomous location discove...
In this paper we present the design and evaluation of intrusion detection models for MANETs using supervised classification algorithms. Specifically, we evaluate the performance of...