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

Iba, Hitoshi; Hasegawa, Yoshihiko; Paul, Topon Kumar

Introduction. Genetic Programming. Numerical Approach to Genetic Programming. Classification by Ensemble of Genetic Programming Rules. Probabilistic Program Evolution. Appendix: GUI Systems and Source Codes. References. Index.