1900 search results - page 44 / 380 » Gaussian Processes for Machine Learning |
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
In dimensionality reduction approaches, the data are typically embedded in a Euclidean latent space. However for some data sets this is inappropriate. For example, in human motion...
EAMT
1993
13 years 11 months ago
1993
Daelemans W. Abstraction Considered Harmful: Lazy Learning of Language Processing. Proceedings of the 6th 5th Belgian-Dutch Conference on Machine Learning 1996; 3-12.
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
This article presents several techniques to combine between Support vector machines (SVM) and Joint Factor Analysis (JFA) model for speaker verification. In this combination, the...
CGF
2005
13 years 7 months ago
2005
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
ACML
2009
Springer
14 years 2 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...