Method of developing a classifier using adaboost-over-genetic programming

摘要

An iterative process involving both genetic programming (18) and adaptive boosting (22, 24) is used to develop a classification algorithm (24) using a series of training examples. A genetic programming process (18) is embedded within an adaptive boosting loop (22, 24) to develop a strong classifier (24) based on combination of genetically produced classifiers.