The topic of this monograph falls within the, so-called, biologically motivated computing paradigm, in which biology provides the source of models and inspiration towards the development of computational intelligence and machine learning systems.
Introduction.- Machine Learning.- The Class Imbalance Problem.- Addressing the Class Imbalance Problem.- Machine Learning Paradigms.- Immune System Fundamentals.- Artificial Immune Systems.- Experimental Evaluation of Artificial Immune System-based Learning Algorithms.- Conclusions and Future Work.