Data from an experiment may result in a graph indicating exponential growth. This implies the formula of this growth is \(y = k{x^n}\), where \(k\) and \(n\) are constants. Using logarithms, we can ...

We study the asymptotics for sparse exponential random graph models where the parameters may depend on the number of vertices of the graph. We obtain exact estimates for the mean and variance of the ...

Exponentially Weighted Moving Average or Exponential Weighted Average is a very important concept to understand Optimization in Deep Learning. It means that as we move forward, we simultaneously ...