60 search results - page 5 / 12 » State-Space Inference and Learning with Gaussian Processes |
AUSAI
2004
Springer
15 years 4 months ago
2004
Springer
In this paper, we propose a dynamic allocation method of basis functions, an Allocation/Elimination Gaussian Softmax Basis Function Network (AE-GSBFN), that is used in reinforcemen...
IDEAL
2005
Springer
15 years 4 months ago
2005
Springer
Abstract. Gaussian processes have been favourably compared to backpropagation neural networks as a tool for regression. We show that a recurrent neural network can implement exact ...
CIMCA
2005
IEEE
15 years 5 months ago
2005
IEEE
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
113
click to vote
BMVC
2010
14 years 9 months ago
2010
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
130
click to vote
BMCBI
2007
14 years 11 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...