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» Uncertainty Measures of Rough Set Prediction
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FUIN
2002
123views more  FUIN 2002»
13 years 10 months ago
Learning Rough Set Classifiers from Gene Expressions and Clinical Data
Biological research is currently undergoing a revolution. With the advent of microarray technology the behavior of thousands of genes can be measured simultaneously. This capabilit...
Herman Midelfart, Henryk Jan Komorowski, Kristin N...
IEEEICCI
2005
IEEE
14 years 4 months ago
Theoretical study on a new information entropy and its use in attribute reduction
The positive region in rough set framework and Shannon conditional entropy are two traditional uncertainty measurements, used usually as heuristic metrics in attribute reduction. ...
Ping Luo, Qing He, Zhongzhi Shi
MLCW
2005
Springer
14 years 4 months ago
Evaluating Predictive Uncertainty Challenge
This Chapter presents the PASCAL1 Evaluating Predictive Uncertainty Challenge, introduces the contributed Chapters by the participants who obtained outstanding results, and provide...
Joaquin Quiñonero Candela, Carl Edward Rasm...
ISIPTA
2005
IEEE
143views Mathematics» more  ISIPTA 2005»
14 years 4 months ago
A Granular Semantics for Fuzzy Measures and its Application to Climate Change Scenarios
A granular based semantics for fuzzy measures is introduced in which the measure of a set of propositions approximates the probability of the disjunction of these propositions. Th...
Jonathan Lawry, Jim Hall, Guangtao Fu
BIOINFORMATICS
2000
149views more  BIOINFORMATICS 2000»
13 years 10 months ago
MaxSub: an automated measure for the assessment of protein structure prediction quality
Motivation: Evaluating the accuracy of predicted models is critical for assessing structure prediction methods. Because this problem is not trivial, a large number of different as...
Naomi Siew, Arne Elofsson, Leszek Rychlewski, Dani...