Expectation Maximization Algorithm

Algorithm used in statistics for finding maximum likelihood estimates of parameters in probabilistic models, where the model depends on unobserved… (More)
National Institutes of Health

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Highly Cited
2014
Highly Cited
2014
We consider the problem of maximizing a (non-monotone) submodular function subject to a cardinality constraint. In addition to… (More)
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Highly Cited
2011
Highly Cited
2011
Modularity maximization is the most popular technique for the detection of community structure in graphs. The resolution limit of… (More)
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Highly Cited
2010
Highly Cited
2010
Although widely used in practice, the behavior and accuracy of the popular module identification technique called modularity… (More)
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Highly Cited
2008
Highly Cited
2008
897 don't know the coin used for each set of tosses. However, if we had some way of completing the data (in our case, guessing… (More)
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Highly Cited
2008
Highly Cited
2008
  • Nojun Kwak
  • IEEE Transactions on Pattern Analysis and Machine…
  • 2008
A method of principal component analysis (PCA) based on a new L1-norm optimization technique is proposed. Unlike conventional PCA… (More)
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Highly Cited
2008
Highly Cited
2008
We consider the problem of finding communities or modules in directed networks. In the past, the most common approach to this… (More)
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Highly Cited
2006
Highly Cited
2006
MOTIVATION The recent discoveries of large numbers of non-coding RNAs and computational advances in genome-scale RNA search… (More)
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2006
2006
We introduce a new class of maximization-expectation (ME) algorithms where we maximize over hidden variables but marginalize over… (More)
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Highly Cited
2004
Highly Cited
2004
There are two striking aspects of the recovery from the Great Depression in the United States: the recovery was very weak and… (More)
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Highly Cited
1997
Highly Cited
1997
It has previously been suggested that neurons with line and edge selectivities found in primary visual cortex of cats and monkeys… (More)
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