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CVPR
2006
IEEE
16 years 3 months ago
Applying Ensembles of Multilinear Classifiers in the Frequency Domain
Ensemble methods such as bootstrap, bagging or boosting have had a considerable impact on recent developments in machine learning, pattern recognition and computer vision. Theoret...
Christian Bauckhage, Thomas Käster, John K. T...
GFKL
2007
Springer
166views Data Mining» more  GFKL 2007»
15 years 8 months ago
Classifying Number Expressions in German Corpora
Number and date expressions are essential information items in corpora and therefore play a major role in various text mining applications. However, so far number expressions were ...
Irene M. Cramer, Stefan Schacht, Andreas Merkel
109
Voted
MLMTA
2003
15 years 3 months ago
Improved Experimental Results Using Fuzzy Lattice Neurocomputing (FLN) Classifiers
— This work shows comparatively the capacity of five Fuzzy Lattice Neurocomputing (FLN) classifiers. The mechanics of the five classifiers are illustrated geometrically on the pl...
Al Cripps, Vassilis G. Kaburlasos, Nghiep Nguyen, ...
ICML
2005
IEEE
16 years 2 months ago
Large scale genomic sequence SVM classifiers
In genomic sequence analysis tasks like splice site recognition or promoter identification, large amounts of training sequences are available, and indeed needed to achieve suffici...
Bernhard Schölkopf, Gunnar Rätsch, S&oum...
ICML
2000
IEEE
16 years 2 months ago
Duality and Geometry in SVM Classifiers
We develop an intuitive geometric interpretation of the standard support vector machine (SVM) for classification of both linearly separable and inseparable data and provide a rigo...
Kristin P. Bennett, Erin J. Bredensteiner