In this study, the authors investigate the error rate performance of amplify-and-forward relaying over N∗Nakagami fading channels. This is a recently introduced channel model that involves the product of N Nakagami-m-distributed random variables. Employing the moment generating function approach, the authors derive symbol error rate expressions for a single-relay system under instantaneous powe...

The neglect of administrative issues is a serious limitation of optimal tax theory, with implications for its practical applicability. We focus on an important class of administrative problems, namely that the tax bases are measured with some error. We also consider the full set of tax instruments. We find that consumption taxes can perform the ‘social insurance role of taxation’, a role previo...

Protection of privacy from unauthorized access is one of the primary concerns in data use, from national security to business transactions. It brings out a new branch of data mining, known as Privacy Preserving Data Mining (PPDM). Privacy-Preserving is a major concern in the application of data mining techniques to datasets containing personal, sensitive, or confidential information. Data disto...

The recently proposed temporal ensembling has achieved state-of-the-art results in several semi-supervised learning benchmarks. It maintains an exponential moving average of label predictions on each training example, and penalizes predictions that are inconsistent with this target. However, because the targets change only once per epoch, temporal ensembling becomes unwieldy when using large da...

As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we explore the Bayesian estimation of stochastic kinetic rate constants governing dynamic models of intracellular processes. The underlying model is replaced by a diffusion approximation where a noise term represents intrinsi...