164 search results - page 2 / 33 » Heteroscedastic Gaussian process regression |
ICB
2009
Springer
13 years 12 months ago
2009
Springer
Linear discriminant analysis (LDA) is a popular method in pattern recognition and is equivalent to Bayesian method when the sample distributions of different classes are obey to t...
JMLR
2012
11 years 7 months ago
2012
We propose a novel mixtures of Gaussian processes model in which the gating function is interconnected with a probabilistic logical model, in our case Markov logic networks. In th...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
Abstract— Artificial neural networks have proved an attractive approach to non-linear regression problems arising in environmental modelling, such as statistical downscaling, sh...
Publication
We present a new approach for activity modelling and anomaly detection based on non-parametric Gaussian Process (GP) models. Specifically, GP regression models are formulated to l...
JMLR
2010
13 years 1 days ago
2010
A method for using monotonicity information in multivariate Gaussian process regression and classification is proposed. Monotonicity information is introduced with virtual derivat...