112 search results - page 15 / 23 » Gaussian Processes for Machine Learning (GPML) Toolbox |
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We consider the problem of extracting informative exemplars from a data stream. Examples of this problem include exemplarbased clustering and nonparametric inference such as Gauss...
KDD
2000
ACM
13 years 11 months ago
2000
ACM
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
JMS
2010
13 years 6 months ago
2010
This work studies the impact of using dynamic information as features in a machine learning algorithm for the prediction task of classifying critically ill patients in two classes ...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Designs of micro electro-mechanical devices need to be robust against fluctuations in mass production. Computer experiments with tens of parameters are used to explore th...