This paper studies the behavior of the low-rank least mean squares (LMS) adaptive algorithm for the general case in which the input transformation may not capture the exact input s...
This paper investigates a Bayesian model and a Markov chain Monte Carlo (MCMC) algorithm for gene factor analysis. Each sample in the dataset is decomposed as a linear combination...
Cecile Bazot, Nicolas Dobigeon, Jean-Yves Tournere...
Estimating the rate at which events happen has been studied under various guises and in different settings. We are interested in the specific case of consumerinitiated events or t...
—In this paper, we evaluate the performance of a WiMAX network in different frequency reuse scenarios with and without adaptive beaforming technique. We study the possibility of ...
Masood Maqbool, Marceau Coupechoux, Philippe Godle...
This paper reports that in parallel Monte-Carlo simulations of the 2D Ising-Model, commonly used pseudo-random number generators (PRNG) lead to manifestly erroneous results. When ...
Hyo Ashihara, Ai Kuramoto, Isaku Wada, Makoto Mats...