1364 search results - page 225 / 273 » Sampling Methods for Unsupervised Learning |
JMLR
2002
14 years 10 months ago
2002
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
HCI
2009
14 years 8 months ago
2009
Abstract. IT service delivery is challenging to study. It is characterized by interacting systems of technology, people, and organizations. The work is sometimes reactive, sometime...
110
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ICPR
2006
IEEE
16 years 6 days ago
2006
IEEE
Microarray data provides quantitative information about the transcription profile of cells. To analyze microarray datasets, methodology of machine learning has increasingly attrac...
95
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ICPR
2006
IEEE
16 years 6 days ago
2006
IEEE
Recently, boosting is used widely in object detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifiers which is on...
78
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ICML
2008
IEEE
15 years 12 months ago
2008
IEEE
We consider the least-square linear regression problem with regularization by the 1-norm, a problem usually referred to as the Lasso. In this paper, we present a detailed asymptot...