This study develops a least squares support vector machines (LS-SVM) based model for bivariate process to diagnose abnormal patterns of process mean vector, and to help identify a...
In this paper we construct an associative memory model based on the restricted Coulomb energy (RCE) network. We propose a simple architecture and training algorithm for this RCE-b...
Xiaoyan Mu, Mehmet Artiklar, Paul Watta, Mohamad H...
We describe a machine model for automatically dynamizing static algorithms and apply it to historyindependent data structures. Static programs expressed in this model are dynamize...
Umut A. Acar, Guy E. Blelloch, Robert Harper, Jorg...
Responsiveness and scalability are important quality-of-service attributes for Web applications. Web sites that are slow, either because of poor responsiveness or lack of scalabil...
The neural network (NN) models well trained and validated by the same data may exhibit noticeably different predictabilities in applications. This is mainly due to the fact that t...