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ICMLC
2010
Springer
13 years 5 months ago
Optimization of bagging classifiers based on SBCB algorithm
: Bagging (Bootstrap Aggregating) has been proved to be a useful, effective and simple ensemble learning methodology. In generic bagging methods, all the classifiers which are trai...
Xiao-Dong Zeng, Sam Chao, Fai Wong
CIKM
2009
Springer
13 years 8 months ago
What makes categories difficult to classify?: a study on predicting classification performance for categories
Categories and Subject Descriptors Keywords General Terms
Aixin Sun, Ee-Peng Lim, Ying Liu
CVPR
2007
IEEE
14 years 9 months ago
Joint Optimization of Cascaded Classifiers for Computer Aided Detection
The existing methods for offline training of cascade classifiers take a greedy search to optimize individual classifiers in the cascade, leading inefficient overall performance. W...
Murat Dundar, Jinbo Bi
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
13 years 11 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
HAPTICS
2005
IEEE
14 years 1 months ago
Wearable Kinesthetic System for Capturing and Classifying Upper Limb Gesture
Background: Monitoring body kinematics has fundamental relevance in several biological and technical disciplines. In particular the possibility to exactly know the posture may fur...
R. Bartalesi, Federico Lorussi, M. Tesconi, Alessa...