164 search results - page 28 / 33 » Heteroscedastic Gaussian process regression |
158
Voted
FGR
2011
IEEE
14 years 7 months ago
2011
IEEE
— Recently, many gait recognition algorithms are proposed, and the optimal camera arrangement is necessary to maximize the performance. In this paper, we propose the optimal came...
126
Voted
PKDD
2010
Springer
15 years 2 months ago
2010
Springer
Latent Dirichlet allocation is a fully generative statistical language model that has been proven to be successful in capturing both the content and the topics of a corpus of docum...
148
Voted
ACML
2009
Springer
15 years 10 months ago
2009
Springer
Many regression schemes deliver a point estimate only, but often it is useful or even essential to quantify the uncertainty inherent in a prediction. If a conditional density estim...
127
Voted
GECCO
2007
Springer
15 years 9 months ago
2007
Springer
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
145
Voted
TIT
2002
15 years 3 months ago
2002
Generalization bounds depending on the margin of a classifier are a relatively recent development. They provide an explanation of the performance of state-of-the-art learning syste...