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PAMI
2010
103views more  PAMI 2010»
15 years 2 months ago
Tuning Support Vector Machines for Minimax and Neyman-Pearson Classification
Mark A. Davenport, Richard G. Baraniuk, Clayton Sc...
119
Voted
PRL
2008
118views more  PRL 2008»
15 years 3 months ago
Bayes Machines for binary classification
In this work we propose an approach to binary classification based on an extension of Bayes Point Machines. Particularly, we take into account the whole set of hypotheses that are...
Daniel Hernández-Lobato, José Miguel...
140
Voted
CIBCB
2007
IEEE
15 years 10 months ago
A Comparison of Sequence Kernels for Localization Prediction of Transmembrane Proteins
Abstract— We applied Support Vector Machines to the prediction of the subcellular localization of transmembrane proteins, and compared the performance of different sequence kerne...
Stefan Maetschke, Marcus Gallagher, Mikael Bod&eac...
134
Voted
CAIP
2003
Springer
184views Image Analysis» more  CAIP 2003»
15 years 9 months ago
Multi-class Support Vector Machines with Case-Based Combination for Face Recognition
Abstract. The support vector machine is basically to deal with a two-class classification problem. To get M-class classifiers for face recognition, it is common to construct a set ...
Jaepil Ko, Hyeran Byun
DAM
2008
83views more  DAM 2008»
15 years 3 months ago
Multi-group support vector machines with measurement costs: A biobjective approach
Support Vector Machine has shown to have good performance in many practical classification settings. In this paper we propose, for multi-group classification, a biobjective optimi...
Emilio Carrizosa, Belen Martin-Barragan, Dolores R...