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IJAR
2007
113views more  IJAR 2007»
14 years 9 months ago
Fuzzy clustering in parallel universes
We present an extension of the fuzzy c-Means algorithm, which operates simultaneously on different feature spaces—so-called parallel universes—and also incorporates noise det...
Bernd Wiswedel, Michael R. Berthold
KDD
2003
ACM
205views Data Mining» more  KDD 2003»
15 years 10 months ago
The data mining approach to automated software testing
In today's industry, the design of software tests is mostly based on the testers' expertise, while test automation tools are limited to execution of pre-planned tests on...
Mark Last, Menahem Friedman, Abraham Kandel
FUZZIEEE
2007
IEEE
15 years 1 months ago
An Interval Intelligent-based Approach for Fault Detection and Modelling
Not considered in the analytical model of the plant, uncertainties always dramatically decrease the performance of the fault detection task in the practice. To cope better with thi...
Abbas Khosravi, Joaquim Armengol Llobet, Esteban R...
77
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CIBB
2008
14 years 11 months ago
Stability and Performances in Biclustering Algorithms
Abstract. Stability is an important property of machine learning algorithms. Stability in clustering may be related to clustering quality or ensemble diversity, and therefore used ...
Maurizio Filippone, Francesco Masulli, Stefano Rov...
WSCG
2004
174views more  WSCG 2004»
14 years 11 months ago
Objects and Occlusion from Motion Labeling
The problem of segmenting color video sequences is addressed. Boundary motion and occlusion relations expressed by labeling rules are argued to be of key importance for segmentati...
Albert Akhriev, Alexander Bonch-Osmolovsky, Alexan...