Referenced Items are not available for this document.
For reasoning with uncertain knowledge causal semantics analysis is investigated to propose logical rules, which can represent multi-level semantic knowledge of the relationship between the data and information implicated.These rules constitutes several tree structures named decision forest, the number of trees and stopping criteria can be set automatically. Empirical studies on a set of natural domains show that decision forest has clear advantages with respect to the generalization ability.
Published in:
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Date of Conference: 25-26 April 2009
- Page(s):
- 341 - 344
- Print ISBN:
- 978-0-7695-3615-6
- INSPEC Accession Number:
- 10762617
- Conference Location :
- Hainan Island
- Digital Object Identifier :
- 10.1109/JCAI.2009.95
- Product Type:
- Conference Publications
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