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» Learning with Knowledge from Multiple Experts
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ECAI
2000
Springer
13 years 11 months ago
Learning Classification taxonomies from a classification knowledge based system
Knowledge-based systems (KBS) are not necessarily based on well-defined ontologies. In particular it is possible to build KBS for classification problems, where there is little con...
Hendra Suryanto, Paul Compton
IPMI
2007
Springer
14 years 8 months ago
Robust Parametric Modeling Approach Based on Domain Knowledge for Computer Aided Detection of Vertebrae Column Metastases in MRI
This study evaluates a robust parametric modeling approach for computer-aided detection (CAD) of vertebrae column metastases in whole-body MRI. Our method involves constructing a m...
Anna K. Jerebko, G. P. Schmidt, Xiang Sean Zhou, J...
NECO
1998
168views more  NECO 1998»
13 years 7 months ago
Constructive Incremental Learning from Only Local Information
We introduce a constructive, incremental learning system for regression problems that models data by means of spatially localized linear models. In contrast to other approaches, t...
Stefan Schaal, Christopher G. Atkeson
SAFECOMP
2000
Springer
13 years 11 months ago
Expert Error: The Case of Trouble-Shooting in Electronics
An expert trouble-shooter is a subject who has a great deal of experience in his activity that allows him or her to be very efficient. However, the large amount of problems he or s...
Denis Besnard
CIKM
2008
Springer
13 years 9 months ago
Modeling document features for expert finding
We argue that expert finding is sensitive to multiple document features in an organization, and therefore, can benefit from the incorporation of these document features. We propos...
Jianhan Zhu, Dawei Song, Stefan M. Rüger, Xia...