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 ...

Researchers planning mating experiments are faced with a critical design choice—deciding how many pairs and which pairs of individuals to mate. The number of crosses in a mating experiment can ...

Taking inspiration from the way humans seem to learn, scientists have created AI software capable of picking up new knowledge in a far more efficient and sophisticated way. Fig. 1. People can learn ...

Knowing when to hold 'em, and when to fold 'em is one of life's perpetual mysteries. If you have a mathematical inclination, or a bent for probabilities, this book might well catalyze a turning point ...

This is a preview. Log in through your library . Abstract A procedure is described which allows the selection of a simple random sample of size n from a list of N items, where N is unknown, and only ...

At the core of reinforcement learning is the concept that the optimal behavior or action is reinforced by a positive reward. Similar to toddlers learning how to walk who adjust actions based on the ...