283 search results - page 10 / 57 » Bounds on the Generalization Performance of Kernel Machine E... |
AI
2009
Springer
14 years 1 months ago
2009
Springer
In this paper, we present a Support Vector Machine (SVM) based ensemble approach to combat the extractive multi-document summarization problem. Although SVM can have a good general...
IJCSA
2008
13 years 7 months ago
2008
In this paper, we present classifiers ensemble approaches for biomedical named entity recognition. Generalized Winnow, Conditional Random Fields, Support Vector Machine, and Maxim...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
In this paper, we present a least square kernel machine with box constraints (LSKMBC). The existing least square machines assume Gaussian hyperpriors and subsequently express the ...
ECAI
2004
Springer
14 years 22 days ago
2004
Springer
The standard SVM formulation for binary classification is based on the Hinge loss function, where errors are considered not correlated. Due to this, local information in the featu...
NIPS
2001
13 years 8 months ago
2001
The support vector machine (SVM) is known for its good performance in binary classification, but its extension to multi-class classification is still an on-going research issue. I...