This paper studies the use of artificial interference in reducing the likelihood that a message transmitted between two multiantenna nodes is intercepted by an undetected eavesdro...
In this paper, cooperative transmission protocols are proposed for wireless broadcast channels, a fundamental building block of wireless communication networks. The concepts of co...
Zhiguo Ding, Kin K. Leung, Dennis Goeckel, Donald ...
The authors propose a co-adaptive approach to controlling parameters for coevolution-based learning classifier systems. By taking advantage of the on-line incremental learning capa...
A method to induce bayesian networks from data to overcome some limitations of other learning algorithms is proposed. One of the main features of this method is a metric to evalua...
In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptu...