711 search results - page 34 / 143 » Applying Support Vector Machines to Imbalanced Datasets |
129
Voted
AIME
2009
Springer
15 years 8 months ago
2009
Springer
In this paper, we investigate the role of a biomedical dataset on the classification accuracy of an algorithm. We quantify the complexity of a biomedical dataset using five complex...
125
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ESANN
2004
15 years 5 months ago
2004
The problem of model selection for support vector machines (SVMs) is considered. We propose an evolutionary approach to determine multiple SVM hyperparameters: The covariance matr...
150
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AMAI
2004
Springer
15 years 9 months ago
2004
Springer
The Minimax Probability Machine (MPM) constructs a classifier, which provides a worst-case bound on the probability of misclassification of future data points based on reliable ...
161
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
A sparse representation of Support Vector Machines (SVMs) with respect to input features is desirable for many applications. In this paper, by introducing a 0-1 control variable t...
141
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ICIP
2009
IEEE
15 years 1 months ago
2009
IEEE
Kernel-based methods, e.g., support vector machine (SVM), produce high classification performances. However, the computation becomes time-consuming as the number of the vectors su...