56 search results - page 3 / 12 » Estimating Predictive Variances with Kernel Ridge Regression |
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
AAAI
2011
12 years 7 months ago
2011
This paper addresses the task of trajectory cost prediction, a new learning task for trajectories. The goal of this task is to predict the cost for an arbitrary (possibly unknown)...
UAI
2004
13 years 8 months ago
2004
The paper describes an application of Aggregating Algorithm to the problem of regression. It generalizes earlier results concerned with plain linear regression to kernel technique...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Kernelizing partial least squares (PLS), an algorithm which has been particularly popular in chemometrics, leads to kernel PLS which has several interesting properties, including ...
NIPS
1998
13 years 8 months ago
1998
Adaptive Ridge is a special form of Ridge regression, balancing the quadratic penalization on each parameter of the model. It was shown to be equivalent to Lasso (least absolute s...