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Expectation–maximization algorithm
Known as:
Expectation Maximization
, EM clustering
, Expectation maximization method
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In statistics, an expectation–maximization (EM) algorithm is an iterative method for finding maximum likelihood or maximum a posteriori (MAP…
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Related topics
Related topics
41 relations
Bayesian network
Bitext word alignment
Cluster analysis
Computational anatomy
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Broader (2)
Estimation theory
Missing data
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
Distributed Power Control for Spectrum-Sharing Femtocell Networks Using Stackelberg Game
Xin Kang
,
Ying-Chang Liang
,
H. K. Garg
IEEE International Conference on Communications…
2011
Corpus ID: 8814294
In this paper, we investigate the distributed power allocation strategies for a spectrum-sharing femtocell network, where a…
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Highly Cited
2010
Highly Cited
2010
A constant-factor approximation for wireless capacity maximization with power control in the SINR model
Thomas Kesselheim
ACM-SIAM Symposium on Discrete Algorithms
2010
Corpus ID: 10050921
In modern wireless networks devices are able to set the power for each transmission carried out. Experimental but also…
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2010
2010
The expectation-maximization algorithm: Gaussian case
I. Iatan
International Conference on Networking and…
2010
Corpus ID: 6763393
There are some situations when in the pattern recognition applications can appear some objects which are missing data. This thing…
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Highly Cited
2008
Highly Cited
2008
Joint Power and Channel Allocation for Cognitive Radios
F. Digham
IEEE Wireless Communications and Networking…
2008
Corpus ID: 17202060
Spectrum scarcity is the major challenge facing all parties working in the telecommunications industry. As recently shown, the…
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Highly Cited
2008
Highly Cited
2008
Accepted for publication in The Astronomical Journal Preprint typeset using L ATEX style emulateapj v. 10/09/06 CLEAN KINEMATIC SAMPLES IN DWARF SPHEROIDALS: AN ALGORITHM FOR EVALUATING MEMBERSHIP…
2008
Corpus ID: 15002005
Highly Cited
2004
Highly Cited
2004
A buyer-seller game model for selection and negotiation of purchasing bids: Extensions and new models
Joe Zhu
European Journal of Operational Research
2004
Corpus ID: 46307279
Highly Cited
1998
Highly Cited
1998
Fatores de risco para mortalidade perinatal em Pelotas, RS, 1993
A. Menezes
,
F. C. Barros
,
C. Victora
,
Elaine Tomasi
,
R. Halpern
,
André L. B. Oliveira
1998
Corpus ID: 72606536
INTRODUCTION: Although there was a considerable reduction in infant mortality in Pelotas, Rio Grande do Sul in the last decade…
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Highly Cited
1997
Highly Cited
1997
The role of linear semi-infinite programming in signal-adapted QMF bank design
P. Moulin
,
M. Anitescu
,
K. Kortanek
,
F. Potra
IEEE Transactions on Signal Processing
1997
Corpus ID: 15248391
We consider the problem of designing a perfect-reconstruction, FIR, quadrature-mirror filter (QMF) bank (H, G) adapted to input…
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Highly Cited
1989
Highly Cited
1989
The value of food: effects of open and closed economies
A. Houston
,
J. McNamara
Animal Behaviour
1989
Corpus ID: 53171633
Highly Cited
1986
Highly Cited
1986
Bayesian estimation of item response curves
R. Tsutakawa
,
Hsin Ying Lin
1986
Corpus ID: 15212957
Item response curves for a set of binary responses are studied from a Bayesian viewpoint of estimating the item parameters. For…
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