83 search results - page 6 / 17 » GP-BayesFilters: Bayesian filtering using Gaussian process p... |
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Computer experiments often require dense sweeps over input parameters to obtain a qualitative understanding of their response. Such sweeps can be prohibitively expensive, and are ...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Probabilistic matrix factorization (PMF) is a powerful method for modeling data associated with pairwise relationships, finding use in collaborative filtering, computational biolo...
BMCBI
2011
12 years 11 months ago
2011
Background: The analysis of gene expression from time series underpins many biological studies. Two basic forms of analysis recur for data of this type: removing inactive (quiet) ...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We1 present a new actor-critic learning model in which a Bayesian class of non-parametric critics, using Gaussian process temporal difference learning is used. Such critics model ...
ICIP
1999
IEEE
14 years 9 months ago
1999
IEEE
Over the last years many statistical models have been proposed to restore tomographical images. However, their use in medical environment has been limited due to several factors. ...