144 search results - page 8 / 29 » Bayesian Gaussian Process Classification with the EM-EP Algo... |
ICML
2007
IEEE
15 years 10 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 ...
95
Voted
ICMCS
2009
IEEE
14 years 7 months ago
2009
IEEE
Gaussian mixture models (GMMs) and the minimum error rate classifier (i.e. Bayesian optimal classifier) are popular and effective tools for speech emotion recognition. Typically, ...
PKDD
2010
Springer
14 years 7 months ago
2010
Springer
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
MICCAI
2004
Springer
15 years 10 months ago
2004
Springer
3D Bayesian regularization applied to diffusion tensor MRI is presented here. The approach uses Markov Random Field ideas and is based upon the definition of a 3D neighborhood syst...
105
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Blind source separation (BSS) is a process to reconstruct source signals from the mixed signals. The standard BSS methods assume a fixed set of stationary source signals with the ...