1658 search results - page 143 / 332 » Learning Mixtures of Gaussians |
148
click to vote
ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Point processes are difficult to analyze because they provide only a sparse and noisy observation of the intensity function driving the process. Gaussian Processes offer an attrac...
160
click to vote
ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
When monitoring spatial phenomena, which are often modeled as Gaussian Processes (GPs), choosing sensor locations is a fundamental task. A common strategy is to place sensors at t...
167
click to vote
ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
Many real-world classification tasks involve the prediction of multiple, inter-dependent class labels. A prototypical case of this sort deals with prediction of a sequence of labe...
184
click to vote
ESSMAC
2003
Springer
15 years 11 months ago
2003
Springer
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
143
click to vote
ECML
2005
Springer
16 years 7 hour ago
2005
Springer
We study estimation of mixture models for problems in which multiple views of the instances are available. Examples of this setting include clustering web pages or research papers ...