164 search results - page 18 / 33 » Heteroscedastic Gaussian process regression |
149
Voted
UAI
2008
15 years 5 months ago
2008
Much recent work has concerned sparse approximations to speed up the Gaussian process regression from the unfavorable O(n3 ) scaling in computational time to O(nm2 ). Thus far, wo...
178
Voted
BMCBI
2007
15 years 3 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
121
Voted
JEI
2010
2010
Estimating reflectance from multispectral camera responses based on partial least-squares regression
14 years 10 months ago
Abstract. In multispectral imaging systems, the accuracy of reflectance estimation can be degraded by the nonlinearity in imaging process, which is due to non-Gaussian distribution...
136
Voted
ICDM
2009
IEEE
15 years 10 months ago
2009
IEEE
Quantile regression refers to the process of estimating the quantiles of a conditional distribution and has many important applications within econometrics and data mining, among ...
143
Voted
ML
2002
ACM
15 years 3 months ago
2002
ACM
In this paper, we elaborate on the well-known relationship between Gaussian Processes (GP) and Support Vector Machines (SVM) under some convex assumptions for the loss functions. ...