The author presents a rapidly convergent algorithm to solve the general portfolio problem of maximizing concave utility functions subject to linear constraints. The algorithm is based on an iterative ...

In this article, I want to provide a simple guide that explains reinforcement learning and give you some practical examples of how it is used today.

This AI Algorithm Learns Simple Tasks as Fast as We Do Software that learns to recognize written characters from just one example may point the way towards more powerful, more humanlike artificial ...

A simple matrix formula is given for the observed information matrix when the EM algorithm is applied to categorical data with missing values. The formula requires only the design matrices, a matrix ...