Skip to main content

Part of the book series: Studies in Computational Intelligence ((SCI,volume 249))

  • 792 Accesses

Abstract

We have introduced several non-standard adaptation methods in this book and we now review the book and point out possible avenues for future work. However we first wish to address the question why we use these methods on very standard exploratory data analysis techniques.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Barbakh, W.A., Wu, Y., Fyfe, C. (2009). Conclusions. In: Non-Standard Parameter Adaptation for Exploratory Data Analysis. Studies in Computational Intelligence, vol 249. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04005-4_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-04005-4_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04004-7

  • Online ISBN: 978-3-642-04005-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics