Abstract: Random Forest variable importance measures such as mean decrease in accuracy or Gini index are often used to reduce the number of predictor variables for a given classification problem.
It has been proposed by E. Gelenbe in 1989. A Random Neural Network is a compose of Random Neurons and Spikes that circulates through the network. According to this model, each neuron has a positive ...
Today I brushed off my painting skills and followed a Christmas and winter-themed Bob Ross painting tutorial. The only problem is I'm not a great painter, and to put myself at even more of a ...
Abstract: We investigate the problem associated with the statistics of the product of two squared Shadowed Rician (SR) random variables (RVs). Both SR RVs are independent and nonidentically ...
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