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» Finding Reductions Automatically
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GRC
2005
IEEE
15 years 3 months ago
Discovering and ranking important rules
— Decision rules generated from reducts can fully describe a data set. We introduce a new method of evaluating rules by taking advantage of rough sets theory. We consider rules g...
Jiye Li, Nick Cercone
PRL
2006
105views more  PRL 2006»
14 years 9 months ago
Automatic parameter selection for a k-segments algorithm for computing principal curves
This paper studies the k-segments algorithm proposed by Verbeek et al. [Verbeek, J.J., Vlassis, N., Krose, B., 2002. A k-segments algorithm for finding principal curves, Pattern R...
Haonan Wang, Thomas C. M. Lee
ACL
2009
14 years 7 months ago
Automatic Generation of Information-seeking Questions Using Concept Clusters
One of the basic problems of efficiently generating information-seeking dialogue in interactive question answering is to find the topic of an information-seeking question with res...
Shuguang Li, Suresh Manandhar
ICIAP
2003
ACM
15 years 10 months ago
Automatic segmentation of MR images based on adaptive anisotropic filtering
A novel approach to the detection of multiple sclerosis (MS) lesions is presented, which uses an adaptive formulation of the anisotropic diffusion and fuzzy-c-means (FCM) clusteri...
Edoardo Ardizzone, Roberto Pirrone, Orazio Gambino
SARA
2009
Springer
15 years 4 months ago
Automatically Enhancing Constraint Model Instances during Tailoring
Tailoring solver-independent constraint instances to target solvers is an important component of automated constraint modelling. We augment the tailoring process by a set of enhan...
Andrea Rendl, Ian Miguel, Ian P. Gent, Christopher...