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» Data selection for support vector machine classifiers
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ICML
2010
IEEE
14 years 11 months ago
Boosting Classifiers with Tightened L0-Relaxation Penalties
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
Noam Goldberg, Jonathan Eckstein
MICCAI
2010
Springer
14 years 7 months ago
Biomarkers for Identifying First-Episode Schizophrenia Patients Using Diffusion Weighted Imaging
Recent advances in diffusion weighted MR imaging (dMRI) has made it a tool of choice for investigating white matter abnormalities of the brain and central nervous system. In this w...
Yogesh Rathi, James G. Malcolm, Oleg V. Michailovi...
ICADL
2005
Springer
91views Education» more  ICADL 2005»
15 years 3 months ago
Image Classification for Digital Archive Management
As tools and systems for producing and disseminating image data have improved significantly in recent years, the volume of digital images has grown rapidly. An efficient mechanism ...
Cheng-Hung Li, Chih-Yi Chiu, Hsiang-An Wang
JMLR
2002
89views more  JMLR 2002»
14 years 9 months ago
A Robust Minimax Approach to Classification
When constructing a classifier, the probability of correct classification of future data points should be maximized. We consider a binary classification problem where the mean and...
Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib...
PROMISE
2010
14 years 4 months ago
How effective is Tabu search to configure support vector regression for effort estimation?
Background. Recent studies have shown that Support Vector Regression (SVR) has an interesting potential in the field of effort estimation. However applying SVR requires to careful...
Anna Corazza, Sergio Di Martino, Filomena Ferrucci...