Skip to main content

Acquisition Methods for Contextual Weak Independence

  • Conference paper
  • First Online:
Rough Sets and Current Trends in Computing (RSCTC 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2475))

Included in the following conference series:

  • 853 Accesses

Abstract

Although contextual weak independence (CWI) has shown promise in leading to more efficient probabilistic inference, no investigation has examined how CWIs can be obtained. In this paper, we suggest and analyze two methods for obtaining this kind of independence.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
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

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.

References

  1. Boutilier, C., Friedman, N., Goldszmidt, M., Koller, D.: Context-specific independence in Bayesian networks, Twelfth Conference on Uncertainty in Artificial Intelligence, 115–123, 1996.

    Google Scholar 

  2. Butz, C.J., Sanscartier, M.J.: On the role of contextual weak independence in probabilistic inference, Fifteenth Canadian Conference on Uncertainty in Artificial Intelligence, (to appear) 2002.

    Google Scholar 

  3. Wong, S.K.M., Butz, C.J.: Contextual weak independence in Bayesian networks. In Fifteenth Conference on Uncertainty in Artificial Intelligence, 670–679, 1999.

    Google Scholar 

  4. Zhang, N., Poole, D.: On the role of context-specific independence in probabilistic inference, Sixteenth Int. Joint Conf. on Artificial Intelligence, 1288–1293, 1999.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Butz, C.J., Sanscartier, M.J. (2002). Acquisition Methods for Contextual Weak Independence. In: Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N. (eds) Rough Sets and Current Trends in Computing. RSCTC 2002. Lecture Notes in Computer Science(), vol 2475. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45813-1_44

Download citation

  • DOI: https://doi.org/10.1007/3-540-45813-1_44

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44274-5

  • Online ISBN: 978-3-540-45813-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics