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» Learning and prediction of slip from visual information
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SMC
2010
IEEE
139views Control Systems» more  SMC 2010»
13 years 5 months ago
Pin-pointing concept descriptions
In this study, the task of obtaining accurate and comprehensible concept descriptions of a specific set of production instances has been investigated. The suggested method, inspire...
Cecilia Sönströd, Ulf Johansson, Henrik ...
FSS
2007
117views more  FSS 2007»
13 years 7 months ago
Multiple regression with fuzzy data
In this paper, we propose an iterative algorithm for multiple regression with fuzzy variables.While using the standard least-squares criterion as a performance index, we pose the ...
Andrzej Bargiela, Witold Pedrycz, Tomoharu Nakashi...
SIGKDD
2000
150views more  SIGKDD 2000»
13 years 7 months ago
KDD-Cup 2000 Organizers' Report: Peeling the Onion
We describe KDD-Cup 2000, the yearly competition in data mining. For the first time the Cup included insight problems in addition to prediction problems, thus posing new challenge...
Ron Kohavi, Carla E. Brodley, Brian Frasca, Llew M...
KAIS
2010
144views more  KAIS 2010»
13 years 6 months ago
Boosting support vector machines for imbalanced data sets
Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers t...
Benjamin X. Wang, Nathalie Japkowicz
BMCBI
2008
160views more  BMCBI 2008»
13 years 7 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...