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TFS
2010
130views Education» more  TFS 2010»
13 years 4 months ago
Toward General Type-2 Fuzzy Logic Systems Based on zSlices
Abstract--Higher order fuzzy logic systems (FLSs), such as interval type-2 FLSs, have been shown to be very well suited to deal with the high levels of uncertainties present in the...
Christian Wagner, Hani Hagras
IJCNN
2008
IEEE
14 years 4 months ago
On-line bagging Negative Correlation Learning
— Negative Correlation Learning (NCL) has been showing to outperform other ensemble learning approaches in off-line mode. A key point to the success of NCL is that the learning o...
Fernanda L. Minku, Xin Yao
FLAIRS
2007
14 years 9 days ago
Fuzzy Temporal Relations for Fault Management
In this paper we shall introduce an approach that forms a basis for temporal data mining. A relation algebra is applied for the purpose of representing simultaneously dependencies...
Hanna Bauerdick, Björn Gottfried
FSS
2008
117views more  FSS 2008»
13 years 10 months ago
(S, N)- and R-implications: A state-of-the-art survey
In this work we give a state-of-the-art review of two of the most established classes of fuzzy implications, viz., (S, N)- and R-implications. Firstly, we discuss their properties...
Michal Baczynski, Balasubramaniam Jayaram
NIPS
2004
13 years 11 months ago
Confidence Intervals for the Area Under the ROC Curve
In many applications, good ranking is a highly desirable performance for a classifier. The criterion commonly used to measure the ranking quality of a classification algorithm is ...
Corinna Cortes, Mehryar Mohri