Integrating Bayesian Networks into Knowledge-Intensive CBR (1998)
| Venue: | In American Association for Artificial Intelligence, Case-based reasoning integrations; Papers from the AAAI workshop. Technical Report WS-98-15. AAAI Press |
| Citations: | 1 - 0 self |
BibTeX
@INPROCEEDINGS{Helge98integratingbayesian,
author = {Agnar Aamodt Helge and Helge Langseth},
title = {Integrating Bayesian Networks into Knowledge-Intensive CBR},
booktitle = {In American Association for Artificial Intelligence, Case-based reasoning integrations; Papers from the AAAI workshop. Technical Report WS-98-15. AAAI Press},
year = {1998},
pages = {1--6}
}
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
In this paper we propose an approach to knowledge intensive CBR, where explanations are generated from a domain model consisting partly of a semantic network and partly of a Bayesian network (BN). The BN enables learning within this domain model based on the observed data. The domain model is used to focus the retrieval and reuse of past cases, as well as the indexing when learning a new case.
