922 search results - page 38 / 185 » Learning Gaussian Process Models from Uncertain Data |
ML
2008
ACM
13 years 8 months ago
2008
ACM
In this paper, we pose a novel research problem for machine learning that involves constructing a process model from continuous data. We claim that casting learned knowledge in ter...
WECWIS
2002
IEEE
14 years 1 months ago
2002
IEEE
In the web context, it is difficult to disentangle presentation from process logic, and sometimes even data is not separate from the presentation. Consequently, it becomes to de...
SASO
2008
IEEE
14 years 2 months ago
2008
IEEE
Truly ubiquitous computing poses new and significant challenges. A huge number of heterogeneous devices will interact to perform complex distributed tasks. One of the key aspects...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
Sensorimotor data from many interesting physical interactions comprises discontinuities. While existing locally weighted learning approaches aim at learning smooth functions, we p...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...