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ML
2002
ACM
121views Machine Learning» more  ML 2002»
15 years 2 months ago
Choosing Multiple Parameters for Support Vector Machines
The problem of automatically tuning multiple parameters for pattern recognition Support Vector Machines (SVMs) is considered. This is done by minimizing some estimates of the gener...
Olivier Chapelle, Vladimir Vapnik, Olivier Bousque...
GIS
2007
ACM
15 years 9 months ago
Predicting future locations using clusters' centroids
As technology advances we encounter more available data on moving objects, thus increasing our ability to mine spatiotemporal data. We can use this data for learning moving object...
Sigal Elnekave, Mark Last, Oded Maimon
118
Voted
IBPRIA
2005
Springer
15 years 8 months ago
Parallel Perceptrons, Activation Margins and Imbalanced Training Set Pruning
A natural way to deal with training samples in imbalanced class problems is to prune them removing redundant patterns, easy to classify and probably over represented, and label noi...
Iván Cantador, José R. Dorronsoro
127
Voted
EUSFLAT
2009
125views Fuzzy Logic» more  EUSFLAT 2009»
15 years 21 days ago
A Dynamic Classification Method for the Discrimination of Evolving Data
Classes issued of evolving systems are dynamic and their characteristics vary over the time. Assigning a pattern to a class is achieved using a classifier. Therefore, the classifie...
Laurent Hartert, Moamar Sayed Mouchaweh, Patrice B...
CVPR
1999
IEEE
16 years 4 months ago
Probabilistic Recognition of Activity using Local Appearance
This paper addresses the problem of probabilistic recognition of activities from local spatio-temporal appearance. Joint statistics of space-time filters are employed to define hi...
Olivier Chomat, James L. Crowley