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» Expectation Propagation for approximate Bayesian inference
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UAI
2001
13 years 5 months ago
Expectation Propagation for approximate Bayesian inference
This paper presents a new deterministic approximation technique in Bayesian networks. This method, "Expectation Propagation," unifies two previous techniques: assumed-de...
Thomas P. Minka
PKDD
2010
Springer
162views Data Mining» more  PKDD 2010»
13 years 2 months ago
Expectation Propagation for Bayesian Multi-task Feature Selection
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
Daniel Hernández-Lobato, José Miguel...
NIPS
2003
13 years 5 months ago
Approximate Expectation Maximization
We discuss the integration of the expectation-maximization (EM) algorithm for maximum likelihood learning of Bayesian networks with belief propagation algorithms for approximate i...
Tom Heskes, Onno Zoeter, Wim Wiegerinck
PKDD
2007
Springer
131views Data Mining» more  PKDD 2007»
13 years 9 months ago
Expectation Propagation for Rating Players in Sports Competitions
Abstract. Rating players in sports competitions based on game results is one example of paired comparison data analysis. Since an exact Bayesian treatment is intractable, several t...
Adriana Birlutiu, Tom Heskes
NIPS
2008
13 years 5 months ago
Improving on Expectation Propagation
A series of corrections is developed for the fixed points of Expectation Propagation (EP), which is one of the most popular methods for approximate probabilistic inference. These ...
Manfred Opper, Ulrich Paquet, Ole Winther