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TFS
2010
130views Education» more  TFS 2010»
15 years 4 days 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
15 years 12 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
15 years 7 months 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»
15 years 5 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
15 years 6 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