372 search results - page 2 / 75 » Covariance Kernels from Bayesian Generative Models |
ANNPR
2006
Springer
13 years 9 months ago
2006
Springer
Abstract. In our previous work we have shown that Mahalanobis kernels are useful for support vector classifiers both from generalization ability and model selection speed. In this ...
NIPS
2008
13 years 6 months ago
2008
We develop new techniques for time series classification based on hierarchical Bayesian generative models (called mixed-effect models) and the Fisher kernel derived from them. A k...
JCB
2007
13 years 5 months ago
2007
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
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 ...
ICASSP
2008
IEEE
13 years 12 months ago
2008
IEEE
Discriminative training for language recognition has been a key tool for improving system performance. In addition, recognition directly from shifted-delta cepstral features has p...