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PREMI
2007
Springer
14 years 1 months ago
Ensemble Approaches of Support Vector Machines for Multiclass Classification
Support vector machine (SVM) which was originally designed for binary classification has achieved superior performance in various classification problems. In order to extend it to ...
Jun-Ki Min, Jin-Hyuk Hong, Sung-Bae Cho
WINE
2005
Springer
268views Economy» more  WINE 2005»
14 years 1 months ago
Mining Stock Market Tendency Using GA-Based Support Vector Machines
In this study, a hybrid intelligent data mining methodology, genetic algorithm based support vector machine (GASVM) model, is proposed to explore stock market tendency. In this hyb...
Lean Yu, Shouyang Wang, Kin Keung Lai
PRICAI
2004
Springer
14 years 1 months ago
Prediction of the Risk Types of Human Papillomaviruses by Support Vector Machines
Abstract. Infection by high-risk human papillomaviruses (HPVs) is associated with the development of cervical cancers. Classification of risk types is important to understand the ...
Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang
IFIP7
2001
Springer
137views Optimization» more  IFIP7 2001»
14 years 4 days ago
Data Mining via Support Vector Machines
Support vector machines (SVMs) have played a key role in broad classes of problems arising in various fields. Much more recently, SVMs have become the tool of choice for problems...
Olvi L. Mangasarian
NLPRS
2001
Springer
14 years 4 days ago
Unknown Word Guessing and Part-of-Speech Tagging Using Support Vector Machines
The accuracy of part-of-speech (POS) tagging for unknown words is substantially lower than that for known words. Considering the high accuracy rate of up-to-date statistical POS t...
Tetsuji Nakagawa, Taku Kudo, Yuji Matsumoto