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» Improving on Expectation Propagation
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ICML
2008
IEEE
14 years 10 months ago
Gaussian process product models for nonparametric nonstationarity
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
Ryan Prescott Adams, Oliver Stegle
ICML
2005
IEEE
14 years 10 months ago
Compact approximations to Bayesian predictive distributions
We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...
Edward Snelson, Zoubin Ghahramani
ICC
2007
IEEE
14 years 4 months ago
A New Approach for Mobile Localization in Multipath Scenarios
—In this paper we consider the localization of a mobile station (MS) in time division multiple access (TDMA) based communication systems. We use joint angle and delay measurement...
Nadir Castañeda, Maurice Charbit, Eric Moul...
LCN
2007
IEEE
14 years 4 months ago
Secure Anonymous Broadcasting in Vehicular Networks
—Vehicular networks face a typical quandary in their requirement for communications that are at once secure and private. While the messages broadcast between vehicles and between...
Christine Laurendeau, Michel Barbeau
ECML
2007
Springer
14 years 4 months ago
Bayesian Inference for Sparse Generalized Linear Models
We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The paramete...
Matthias Seeger, Sebastian Gerwinn, Matthias Bethg...