We present a fluid flow model to analyze backlog-based CSMA policies. The model is obtained using a CSMA fixed point approximation that has been recently proposed and analyzed. We...
Atilla Eryilmaz, Peter Marbach, Asuman E. Ozdaglar
Evaluating text fragments for positive and negative subjective expressions and their strength can be important in applications such as single- or multi- document summarization, do...
The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
In this paper, a new method for the approximation of discrete time state-affine systems is proposed. The method is based on the diagonalization of proposed generalized controllabi...
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...