Abstract
Uncertainty occurs in the world in many ways. For instance, image processing programs identify the content of images with some levels of uncertainty. Prediction programs predict when events will occur with certain probabilities. In this tutorial, I will focus on probabilistic methods to handle uncertainty.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsAuthor information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Subrahmanian, V.S. (2001). Probabilistic Databases and Logic Programming. In: Codognet, P. (eds) Logic Programming. ICLP 2001. Lecture Notes in Computer Science, vol 2237. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45635-X_8
Download citation
DOI: https://doi.org/10.1007/3-540-45635-X_8
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42935-7
Online ISBN: 978-3-540-45635-3
eBook Packages: Springer Book Archive