This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
The primary goal of the study presented in this paper is to develop a novel and comprehensive approach to decision making using fuzzy discrete event systems (FDES) and to apply su...
Feng Lin, Hao Ying, R. D. MacArthur, J. A. Cohn, D...
In this paper we consider the capabilities of nearest neighbor as a criterion of data association to ensure correct decision in associating measurement to target. We continue the ...
Abstract: We report on our experiences with the implementation of a parallel algorithm to compute the cycle structure of a permutation given as an oracle. As a sub-problem, the cyc...
Ant Colony Optimization is an evolutionary method that has recently been applied to scheduling problems. We propose an ACO algorithm for the Single Machine Total Weighted Tardiness...