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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 presented...

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Bibliographic Details
Main Authors: Sotiropoulos, Dionisios N. (Author), Tsihrintzis, George A. (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edition:1st ed. 2017.
Series:Intelligent Systems Reference Library, 118
Subjects:
Online Access:Full-text access
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.