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» Risk sensitive robust support vector machines
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IDEAL
2010
Springer
13 years 4 months ago
Robust 1-Norm Soft Margin Smooth Support Vector Machine
Based on studies and experiments on the loss term of SVMs, we argue that 1-norm measurement is better than 2-norm measurement for outlier resistance. Thus, we modify the previous 2...
Li-Jen Chien, Yuh-Jye Lee, Zhi-Peng Kao, Chih-Chen...
AIRS
2006
Springer
13 years 11 months ago
Efficient and Robust Phrase Chunking Using Support Vector Machines
Automatic text chunking is a task which aims to recognize phrase structures in natural language text. It is the key technology of knowledge-based system where phrase structures pro...
Yu-Chieh Wu, Jie-Chi Yang, Yue-Shi Lee, Show-Jane ...
MICCAI
2002
Springer
14 years 8 months ago
Comparative Exudate Classification Using Support Vector Machines and Neural Networks
After segmenting candidate exudates regions in colour retinal images we present and compare two methods for their classification. The Neural Network based approach performs margina...
Alireza Osareh, Majid Mirmehdi, Barry T. Thomas, R...
COLING
2008
13 years 9 months ago
Robust and Efficient Chinese Word Dependency Analysis with Linear Kernel Support Vector Machines
Data-driven learning based on shift reduce parsing algorithms has emerged dependency parsing and shown excellent performance to many Treebanks. In this paper, we investigate the e...
Yu-Chieh Wu, Jie-Chi Yang, Yue-Shi Lee