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» Solving multiclass support vector machines with LaRank
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83
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MICCAI
2006
Springer
15 years 11 months ago
The Entire Regularization Path for the Support Vector Domain Description
Abstract. The support vector domain description is a one-class classification method that estimates the shape and extent of the distribution of a data set. This separates the data ...
Karl Sjöstrand, Rasmus Larsen
107
Voted
AICS
2009
14 years 8 months ago
Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Data
Multi-class classification algorithms are very widely used, but we argue that they are not always ideal from a theoretical perspective, because they assume all classes are characte...
Frank G. Glavin, Michael G. Madden
84
Voted
MLDM
2007
Springer
15 years 4 months ago
Nonlinear Feature Selection by Relevance Feature Vector Machine
Support vector machine (SVM) has received much attention in feature selection recently because of its ability to incorporate kernels to discover nonlinear dependencies between feat...
Haibin Cheng, Haifeng Chen, Guofei Jiang, Kenji Yo...
77
Voted
ICPR
2008
IEEE
15 years 11 months ago
Efficient implementation of SVM for large class problems
Multiclass classification is an important problem in pattern recognition. Hierarchical SVM classifiers such as DAG-SVM and BHC-SVM are popular in solving multiclass problems. Howe...
Prabakaran Ilayaraja, N. V. Neeba, C. V. Jawahar
BMCBI
2008
116views more  BMCBI 2008»
14 years 10 months ago
The combination approach of SVM and ECOC for powerful identification and classification of transcription factor
Background: Transcription factors (TFs) are core functional proteins which play important roles in gene expression control, and they are key factors for gene regulation network co...
Guangyong Zheng, Ziliang Qian, Qing Yang, Chaochun...