136 search results - page 3 / 28 » Bayesian Estimation of Kernel Bandwidth for Nonparametric Mo... |
CSDA
2006
13 years 5 months ago
2006
A possible approach to bandwidth selection for difference-based variance estimators in the nonparametric regression is proposed. The approach is based on the crossvalidation-type ...
AUTOMATICA
2010
13 years 5 months ago
2010
This paper describes a new kernel-based approach for linear system identification of stable systems. We model the impulse response as the realization of a Gaussian process whose s...
NIPS
2008
13 years 7 months ago
2008
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
We1 present a new actor-critic learning model in which a Bayesian class of non-parametric critics, using Gaussian process temporal difference learning is used. Such critics model ...