The Simplification Conspiracy

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

We study in a quantitative way the efficacy of a social intelligence scheme that is an extension of Extreme Learning Machine paradigm. The key question we investigate is whether and how a collection of elementary learning parcels can replace a single algorithm that is well suited to learn a relatively complex function. Per se, the question is definitely not new, as it can be met in various fields ranging from social networks to bio-informatics. We use a well known benchmark as a touchstone to contribute its answer with both theoretical and numerical considerations.

Original languageBritish English
Title of host publicationSmart Innovation, Systems and Technologies
PublisherSpringer
Pages11-23
Number of pages13
DOIs
StatePublished - 2021

Publication series

NameSmart Innovation, Systems and Technologies
Volume184
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Keywords

  • ensemble learning
  • Learning by gossip
  • learning optimal kernels
  • subsymbolic kernels

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