Nature inspired semi-heuristic learning

Han Liu*, Mihaela Cocea

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract

In this chapter, we describe the concepts of nature inspired semi-heuristic learning by using voting based learning methods as examples. We also present a nature inspired framework of ensemble learning, and discuss the advantages that nature inspiration can bring into a learning framework, from granular computing perspectives.

Original languageEnglish
Title of host publicationGranular Computing Based Machine Learning
PublisherSpringer
Pages29-36
Number of pages8
ISBN (Electronic)9783319700588
ISBN (Print)9783319700571
DOIs
Publication statusPublished - 5 Nov 2017

Publication series

NameStudies in Big Data
PublisherSpringer
Volume35
ISSN (Print)2197-6503
ISSN (Electronic)2197-6511

Keywords

  • ensemble learning
  • granular computing
  • information granules
  • nature inspired
  • probabilistic voting

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