ABSTRACT

What do financial data prediction, day-trading rule development, and bio-marker selection have in common? They are just a few of the tasks that could potentially be resolved with genetic programming and machine learning techniques. Written by leaders in this field, Applied Genetic Programming and Machine Learning delineates the extension of Genetic

chapter 1|6 pages

Introduction

chapter 2|36 pages

Genetic Programming

chapter 3|78 pages

Numerical Approach to Genetic Programming

chapter 5|74 pages

Probabilistic Program Evolution