Machine learning paradigms : artificial immune systems and their applications in software personalization

"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 pre...

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Bibliographic Details
Main Authors Sotiropoulos, Dionisios N. (Author), Tsihrintzis, George A. (Author)
Format Electronic eBook
LanguageEnglish
Published Cham, Switzerland : Springer, [2017]
SeriesIntelligent systems reference library ; v. 118.
Subjects
Artificial immune systems.
Machine learning.
elektronické knihy
electronic books
Online AccessFull text
ISBN9783319471945
9783319471921
Physical Description1 online resource (327 pages) : illustrations

Cover

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.

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