Abstract: In power systems, there are many uncertainty factors such as power outputs of distributed generations and fluctuations of loads. It is very beneficial to power system analysis to acquire an ...

Add a description, image, and links to the stirling-approximation topic page so that developers can more easily learn about it.

Created a Flask (python) based web tool that uses Boyer-Moore String/Pattern matching approximation algorithm to rectify misspelled words via suggestions ...

Abstract: In this study, we provide a direct comparison of the Stochastic Maximum Likelihood algorithm and Contrastive Divergence for training Restricted Boltzmann Machines using the MNIST data set.