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» Semi-Supervised Support Vector Machines
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116
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MCS
2005
Springer
15 years 9 months ago
Ensemble of SVMs for Incremental Learning
Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetti...
Zeki Erdem, Robi Polikar, Fikret S. Gürgen, N...
130
Voted
SCIA
2005
Springer
137views Image Analysis» more  SCIA 2005»
15 years 9 months ago
Invariance in Kernel Methods by Haar-Integration Kernels
Abstract. We address the problem of incorporating transformation invariance in kernels for pattern analysis with kernel methods. We introduce a new class of kernels by so called Ha...
Bernard Haasdonk, A. Vossen, Hans Burkhardt
126
Voted
COLT
2004
Springer
15 years 9 months ago
Sparseness Versus Estimating Conditional Probabilities: Some Asymptotic Results
One of the nice properties of kernel classifiers such as SVMs is that they often produce sparse solutions. However, the decision functions of these classifiers cannot always be u...
Peter L. Bartlett, Ambuj Tewari
143
Voted
IEAAIE
2004
Springer
15 years 9 months ago
Data Mining Approach for Analyzing Call Center Performance
Abstract. The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classifi...
Marcin Paprzycki, Ajith Abraham, Ruiyuan Guo, Srin...
KES
2004
Springer
15 years 9 months ago
Automatic Solar Flare Tracking
Measurement of the evolution properties of solar flares through their complete cyclic development is crucial in the studies of Solar Physics. From analysis of solar Hα images, we...
Ming Qu, Frank Y. Shih, Ju Jing, Haimin Wang, Davi...