In this paper, a novel and effective criterion based on the estimation of the signal-to-noise-ratio figure (SNRF) is proposed to optimize the number of hidden neurons in neural ne...
Many scientific and engineering applications, which are increasingly being ported from software to reconfigurable platforms, require Gaussian-distributed random numbers. Thus, the...
Hassan Edrees, Brian Cheung, McCullen Sandora, Dav...
Abstract. Monte Carlo simulation is one of the most widely used techniques for computationally intensive simulations in mathematical analysis and modeling. A multivariate Gaussian ...
In this paper, we present a local, adaptive optimization scheme for adjusting the number of clusters in fuzzy C-means clustering. This method is especially motivated by online app...
In this extended abstract an optimization technique, the so-called signature calculus, for reasoning with number restrictions in description logics is investigated. The calculus i...