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BIBE
2006
IEEE
137views Bioinformatics» more  BIBE 2006»
15 years 10 months ago
Leveraging Chemical Background Knowledge for the Prediction of Growth Inhibition
We show how chemical background knowledge can be used to improve the prediction performance in structureactivitity relationships (SARs) for non-congeneric compounds. The goal of t...
Lothar Richter, Stefan Hechtl, Stefan Kramer
PKDD
2010
Springer
168views Data Mining» more  PKDD 2010»
15 years 2 months ago
Bayesian Knowledge Corroboration with Logical Rules and User Feedback
Current knowledge bases suffer from either low coverage or low accuracy. The underlying hypothesis of this work is that user feedback can greatly improve the quality of automatica...
Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, T...
EWCBR
2004
Springer
15 years 10 months ago
Exploiting Background Knowledge when Learning Similarity Measures
The definition of similarity measures—one core component of every CBR application—leads to a serious knowledge acquisition problem if domain and application specific requirem...
Thomas Gabel, Armin Stahl
FLAIRS
2001
15 years 5 months ago
Views: Fundamental Building Blocks in the Process of Knowledge Discovery
We present a novel approach to describe the knowledge discovery process, focusing on a generalized form of attribute called view. It is observed that the process of knowledge disc...
Hideo Bannai, Yoshinori Tamada, Osamu Maruyama, Ke...
DIS
2004
Springer
15 years 10 months ago
On the Convergence of Incremental Knowledge Base Construction.
Abstract. Ripple Down Rules is a practical methodology to build knowledgebased systems, which has proved successful in a wide range of commercial applications. However, little work...
Tri M. Cao, Eric Martin, Paul Compton