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146
Voted
SDM
2010
SIAM
15 years 5 months ago
2010
SIAM
Obtaining high-quality and up-to-date labeled data can be difficult in many real-world machine learning applications, especially for Internet classification tasks like review spam...
150
Voted
SYNASC
2006
IEEE
15 years 9 months ago
2006
IEEE
Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
175
Voted
CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
A good model of object shape is essential in applications such as segmentation, object detection, inpainting and graphics. For example, when performing segmentation, local constra...
106
Voted
ICASSP
2008
IEEE
15 years 10 months ago
2008
IEEE
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
141
Voted
BMCBI
2008
15 years 3 months ago
2008
Background: Synthesis of data from published human genetic association studies is a critical step in the translation of human genome discoveries into health applications. Although...