This book explains how simple algorithms can be applied to our everyday lives, helping to solve common decision-making problems.

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 ...

Most elegant: The Perceptron algorithm. Developed back in the 50s by Rosenblatt and colleagues, this extremely simple algorithm can be viewed as the foundation for some of the most successful ...

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 ...

RAVI VARADHAN, CHRISTOPHE ROLAND, Simple and Globally Convergent Methods for Accelerating the Convergence of Any EM Algorithm, Scandinavian Journal of Statistics, Vol. 35, No. 2 (June 2008), pp.