Skip to search formSkip to main contentSkip to account menu

Expectation propagation

Known as: EP 
Expectation propagation (EP) is a technique in Bayesian machine learning. EP finds approximations to a probability distribution. It uses an iterative… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
This study is a contribution in comprehending the role of binarity upon late stages of stellar evolution. We determine the binary… 
Highly Cited
2014
Highly Cited
2014
We present a probabilistic model that simultaneously learns alignments and distributed representations for bilingual data. By… 
2013
2013
In this paper, a system is presented that can detect 48 human actions in realistic videos, ranging from simple actions such as… 
2012
2012
The interaction between binary combinations of three different elastomer classes commonly applied in impact modification of… 
2004
2004
The classification of rare cases is a challenging problem in many real life applications. The scarcity of the rare cases makes it… 
1999
1999
This paper presents two approaches to primitive equality treatment in higher-order (HO) automated theorem proving: a calculus EP… 
Highly Cited
1998
Highly Cited
1998
Closed and open loop control techniques were applied to growing m/n=2/1 rotating islands in wall-stabilized plasmas in the High… 
Highly Cited
1996
Highly Cited
1996
Abstract The Pt-catalyzed reduction of NO by CO exhibits strong electrochemical promotion (EP) by backspillover Na supplied from… 
Highly Cited
1995
Highly Cited
1995
Several paradigms or strategies-some of them introduced here-were applied to point out that the EEG serves as a functionally…