Adaboost classifier by artificial immune system model

作者: Hind Taud , Juan Carlos Herrera-Lozada , Jesús Álvarez-Cedillo

DOI: 10.1007/978-3-642-15992-3_19

关键词:

摘要: An algorithm combining Artificial Immune System and AdaBoost called Imaboost is proposed to improve the feature selection classification performance. Adaboost a machine learning technique, which generates strong classifier as combination of simple classifiers. In Adaboost, through learning, search for best classifiers replaced by clonal algorithm. Haar features extracted from face database are chosen case study. A comparison between provided.

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