55 search results - page 6 / 11 » Linear Regression With Gaussian Model Uncertainty: Algorithm... |
SSDBM
2006
IEEE
14 years 1 months ago
2006
IEEE
In many modern applications, there are no exact values available to describe the data objects. Instead, the feature values are considered to be uncertain. This uncertainty is mode...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...
JMLR
2011
13 years 2 months ago
2011
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
KDD
2006
ACM
14 years 7 months ago
2006
ACM
Motivated by the problem of customer wallet estimation, we propose a new setting for multi-view regression, where we learn a completely unobserved target (in our case, customer wa...
JMLR
2010
13 years 2 months ago
2010
We prove the statistical consistency of kernel Partial Least Squares Regression applied to a bounded regression learning problem on a reproducing kernel Hilbert space. Partial Lea...