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PKDD
2005
Springer
96views Data Mining» more  PKDD 2005»
16 years 4 days ago
Testing Theories in Particle Physics Using Maximum Likelihood and Adaptive Bin Allocation
We describe a methodology to assist scientists in quantifying the degree of evidence in favor of a new proposed theory compared to a standard baseline theory. The figure of merit ...
Bruce Knuteson, Ricardo Vilalta
RSFDGRC
2005
Springer
134views Data Mining» more  RSFDGRC 2005»
16 years 4 days ago
The Computational Complexity of Inference Using Rough Set Flow Graphs
Pawlak recently introduced rough set flow graphs (RSFGs) as a graphical framework for reasoning from data. Each rule is associated with three coefficients, which have been shown t...
Cory J. Butz, Wen Yan, Boting Yang
RSFDGRC
2005
Springer
100views Data Mining» more  RSFDGRC 2005»
16 years 4 days ago
A Hybrid Approach to MR Imaging Segmentation Using Unsupervised Clustering and Approximate Reducts
Abstract. We introduce a hybrid approach to magnetic resonance image segmentation using unsupervised clustering and the rules derived from approximate decision reducts. We utilize ...
Sebastian Widz, Kenneth Revett, Dominik Slezak
162
Voted
CIS
2004
Springer
16 years 2 days ago
A Method of Acquiring Ontology Information from Web Documents
Abstract. Ontology plays an important role on the Semantic Web. In this paper, we propose a method, AOIWD, of acquiring ontology information from Web documents. The AOIWD method em...
Lixin Han, Guihai Chen, Li Xie
PKDD
2004
Springer
102views Data Mining» more  PKDD 2004»
16 years 13 hour ago
Improving the Performance of the RISE Algorithm
Ideally, a multi-strategy learning algorithm performs better than its component approaches. RISE is a multi-strategy algorithm that combines rule induction and instance-based learn...
Aloísio Carlos de Pina, Gerson Zaverucha
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