922 search results - page 96 / 185 » Learning Gaussian Process Models from Uncertain Data |
126
Voted
ATAL
2009
Springer
15 years 9 months ago
2009
Springer
During face-to-face conversation, the speaker’s head is continually in motion. These movements serve a variety of important communicative functions. Our goal is to develop a mod...
194
Voted
VLSISP
2011
14 years 9 months ago
2011
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
128
click to vote
KDD
2009
ACM
15 years 7 months ago
2009
ACM
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
155
click to vote
TMI
2010
15 years 29 days ago
2010
Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...
113
Voted
ESANN
2003
2003
Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression
15 years 4 months ago
In this paper we extend a form of kernel ridge regression for data characterised by a heteroscedastic noise process (introduced in Foxall et al. [1]) in order to provide approxima...