405 search results - page 19 / 81 » Bayesian Gaussian Process Latent Variable Model |
IJCNN
2008
IEEE
15 years 3 months ago
2008
IEEE
— Probabilistic models were developed to provide predictive distributions of daily maximum surface level ozone concentrations. Five forecast models were compared at two stations ...
ICCV
2009
IEEE
14 years 7 months ago
2009
IEEE
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
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UAI
2004
14 years 10 months ago
2004
Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. ...
NIPS
2003
14 years 10 months ago
2003
We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...
119
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BMCBI
2011
14 years 1 months ago
2011
Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...