This paper presents a new method for the selection of the two hyperparameters of Least Squares Support Vector Machine (LS-SVM) approximators with Gaussian Kernels. The two hyperpar...
Amaury Lendasse, Yongnan Ji, Nima Reyhani, Michel ...
—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
It has been suggested that long-range intrinsic connections in striate cortex may play a role in contour extraction (Gilbert et al., 1996). A number of recent physiological and ps...
: In order to conceal their identity and origin, network based intruders seldom attack directly from their own hosts, but rather stage their attacks through intermediate `stepping ...