711 search results - page 69 / 143 » Applying Support Vector Machines to Imbalanced Datasets |
107
Voted
ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
We present a new type of multi-class learning algorithm called a linear-max algorithm. Linearmax algorithms learn with a special type of attribute called a sub-expert. A sub-exper...
132
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SAC
2006
ACM
15 years 10 months ago
2006
ACM
Traditional Data Mining and Knowledge Discovery algorithms assume free access to data, either at a centralized location or in federated form. Increasingly, privacy and security co...
142
Voted
JMLR
2011
14 years 11 months ago
2011
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
134
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MICRO
2005
IEEE
15 years 9 months ago
2005
IEEE
An emerging trend in processor design is the addition of short vector instructions to general-purpose and embedded ISAs. Frequently, these extensions are employed using traditiona...
133
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SDM
2009
SIAM
16 years 1 months ago
2009
SIAM
Support Vector Machines (SVMs) are a leading tool in classification and pattern recognition and the kernel function is one of its most important components. This function is used...