Machine Learning Paradigms Artificial Immune Systems and their Applications in Software Personalization /

• Main Authors: Sotiropoulos, Dionisios N. (Author), Tsihrintzis, George A. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Intelligent Systems Reference Library, 118
• Subjects: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

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. Specifically, artificial immune systems are presented...

Table of Contents:

• 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.