This paper presents a preliminary study on the nonlinear approximation capability of feedforward neural networks (FNNs) via a geometric approach. Three simplest FNNs with at most f...
We characterize probabilities in Bayesian networks in terms of algebraic expressions called quasi-probabilities. These are arrived at by casting Bayesian networks as noisy AND-OR-...
Web Services integration using languages such as BPEL is to be applied not only on the Internet but also in pervasive networks using wireless mobile devices. However, in such a net...
Abstract This paper presents a document-oriented model for information dissemination in dynamic ad hoc networks, such as those composed of highly mobile and volatile communicating ...
Minimization methods for training feed-forward networks with Backpropagation are compared. Feedforward network training is a special case of functional minimization, where no expli...
Syed Muhammad Aqil Burney, Tahseen Ahmed Jilani, C...