243 search results - page 2 / 49 » Non-linear regression models for Approximate Bayesian Comput... |
CA
2003
IEEE
13 years 10 months ago
2003
IEEE
This paper presents an efficient method of learning motion control for autonomous animated characters. The method uses a non parametric learning approach which identifies non line...
ECCV
1996
Springer
14 years 7 months ago
1996
Springer
In this paper we describe a method to perform Euclidean reconstruction with a perspective camera model. It incrementally performs reconstruction with a paraperspective camera in or...
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
— This work addresses the problem of selecting a subset of basis functions for a model linear in the parameters for regression tasks. Basis functions from a set of candidates are...
JMLR
2011
13 years 7 days 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...
ESANN
2004
13 years 6 months ago
2004
In this paper we present a simple hierarchical Bayesian treatment of the sparse kernel logistic regression (KLR) model based MacKay's evidence approximation. The model is re-p...