1601 search results - page 173 / 321 » Learning Gaussian processes from multiple tasks |
127
Voted
KDD
2008
ACM
16 years 3 months ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
163
Voted
WSE
2002
IEEE
15 years 8 months ago
2002
IEEE
As the use of the World Wide Web becomes more pervasive within our society, businesses and institutions are required to migrate a wide range of services to the web. Difficulties a...
147
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ACML
2009
Springer
15 years 10 months ago
2009
Springer
Many regression schemes deliver a point estimate only, but often it is useful or even essential to quantify the uncertainty inherent in a prediction. If a conditional density estim...
125
click to vote
ICCV
2007
IEEE
15 years 9 months ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
147
Voted
ECML
2006
Springer
15 years 7 months ago
2006
Springer
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...