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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…
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Related topics
Related topics
3 relations
Graphical models for protein structure
Latent Dirichlet allocation
Broader (1)
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Learning Bilingual Word Representations by Marginalizing Alignments
Tomás Kociský
,
Karl Moritz Hermann
,
Phil Blunsom
Annual Meeting of the Association for…
2014
Corpus ID: 5809776
We present a probabilistic model that simultaneously learns alignments and distributed representations for bilingual data. By…
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2014
2014
Understanding doping anomalies in degenerate p-type semiconductor LaCuOSe
LaCuOSe
,
D. Scanlon
,
J. Buckeridge
,
C. Catlow
,
G. Watson
2014
Corpus ID: 53627537
The failure to develop a degenerate, wide band gap, p-type oxide material has been a stumbling block for the optoelectronics…
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2013
2013
Selection of negative samples and two-stage combination of multiple features for action detection in thousands of videos
G. Burghouts
,
K. Schutte
,
Henri Bouma
,
R. D. Hollander
Machine Vision and Applications
2013
Corpus ID: 12649193
In this paper, a system is presented that can detect 48 human actions in realistic videos, ranging from simple actions such as…
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Highly Cited
2009
Highly Cited
2009
Cloud Computing Service Composition and Search Based on Semantic
Cheng Zeng
,
X. Guo
,
Weijie Ou
,
Dong-il Han
International Conference on Cloud Computing
2009
Corpus ID: 17604012
In this paper, we put forward a matching algorithm SMA between cloud computing services of multiple input/output parameters…
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2004
2004
Printer Identification Based on Texture Features
Aravind K. Mikkilineni
,
Chiang Ju Pei
,
G. Ali
,
G. Chiu
,
J. Allebach
,
E. Delp
NIP & Digital Fabrication Conference
2004
Corpus ID: 17463626
In today’s digital world securing different forms of content is very important in terms of protecting copyright and verifying…
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Highly Cited
1998
Highly Cited
1998
Quantitative approach towards the measurement of polypropylene/(ethylene-propylene) copolymer blends surface elastic properties by AFM
E. Tomasetti
,
R. Legras
,
B. Nysten
1998
Corpus ID: 73640554
Atomic force microscopies were used to quantitatively study and map the surface elastic properties of polymers and polypropylene…
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Highly Cited
1998
Highly Cited
1998
Active control of 2/1 magnetic islands in a tokamak
G. Navratil
,
C. Cates
,
+6 authors
G. Wurden
1998
Corpus ID: 7429958
Closed and open loop control techniques were applied to growing m/n=2/1 rotating islands in wall-stabilized plasmas in the High…
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Highly Cited
1995
Highly Cited
1995
Time and frequency analysis of the brain's distributed gamma-band system
E. Basar
,
C. Başar-Eroğlu
,
T. Demiralp
,
M. Schürmann
1995
Corpus ID: 2112768
Several paradigms or strategies-some of them introduced here-were applied to point out that the EEG serves as a functionally…
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Highly Cited
1983
Highly Cited
1983
Electrical potentials of the cerebral cortex and psychometric intelligence
R. Haier
,
D. Robinson
,
W. Braden
,
Diana Williams
1983
Corpus ID: 40679819
Highly Cited
1983
Highly Cited
1983
Magnetic field and magnetic isotope effects on photoinduced emulsion polymerization
N. Turro
,
M. Chow
,
C. Chung
,
C. Tung
1983
Corpus ID: 73605745
The photochemically induced emulsion polymerization of styrene, methyl methacrylate, or acrylic acid is photosensitized by oil…
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