We analyze the performance of the novel Markov chain stochastic modeling technique for derivation of effective equations for a set of essential variables. This technique is an empi...
Software cost estimation is known to be a challenging task at best, and these challenges are increased for programmers operating outside the support of an established team program...
Background: To cancel experimental variations, microarray data must be normalized prior to analysis. Where an appropriate model for statistical data distribution is available, a p...
We propose a method for diagnosis of parametric faults in analog circuits using polynomial coefficients of the circuit model [15]. As a sequel to our recent work [14], where circ...
The learned parametric mixture method is presented for a canonical cost function based ICA model on linear mixture, with several new findings. First, its adaptive algorithm is fu...