321 search results - page 23 / 65 » Stacked Gaussian Process Learning |
108
click to vote
NIPS
2001
15 years 1 months ago
2001
We combine the replica approach from statistical physics with a variational approach to analyze learning curves analytically. We apply the method to Gaussian process regression. A...
139
click to vote
DAGM
2011
Springer
13 years 11 months ago
2011
Springer
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
124
click to vote
DAGM
2008
Springer
15 years 1 months ago
2008
Springer
Three-dimensional electron-microscopic image stacks with almost isotropic resolution allow, for the first time, to determine the complete connection matrix of parts of the brain. I...
102
click to vote
ICASSP
2010
IEEE
15 years 11 hour ago
2010
IEEE
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
PAMI
2008
14 years 11 months ago
2008
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...