Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Expectation–maximization algorithm

Known as: Expectation Maximization, EM clustering, Expectation maximization method 
In statistics, an expectation–maximization (EM) algorithm is an iterative method for finding maximum likelihood or maximum a posteriori (MAP… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
A neuroscience method to understanding the brain is to find and study the preferred stimuli that highly activate an individual… Expand
  • figure 1
  • figure 2
  • figure 4
  • figure 7
  • table 1
Review
2018
Review
2018
Influence Maximization (IM), which selects a set of <inline-formula><tex-math notation="LaTeX">$k$</tex-math> <alternatives… Expand
  • figure 1
  • figure 2
  • table 1
  • table 2
Review
2018
Review
2018
Wireless energy harvesting (EH) is a promising solution to prolong lifetime of power-constrained networks such as military and… Expand
  • figure 2
  • figure 1
  • table I
  • table II
  • table III
Review
2017
Review
2017
The present work provides an overview of technological measures to increase the self-sufficiency of wastewater treatment plants… Expand
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • table 2
Highly Cited
2010
Highly Cited
2010
  • C. Elkan
  • Encyclopedia of Machine Learning
  • 2010
  • Corpus ID: 11846408
In this paper we take a look at the Expectation Maximization algorithm and an example of its use in a real world applications. 
  • figure 1
  • figure 2
  • table 1
  • figure 4
  • figure 5
Highly Cited
2002
Highly Cited
2002
Retrieving images from large and varied collections using image content as a key is a challenging and important problem. We… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Highly Cited
1996
Highly Cited
1996
  • T. Moon
  • IEEE Signal Process. Mag.
  • 1996
  • Corpus ID: 120052814
A common task in signal processing is the estimation of the parameters of a probability distribution function. Perhaps the most… Expand
Highly Cited
1995
Highly Cited
1995
The MEME algorithm extends the expectation maximization (EM) algorithm for identifying motifs in unaligned biopolymer sequences… Expand
Highly Cited
1995
Highly Cited
1995
  • A. Pierro
  • IEEE Trans. Medical Imaging
  • 1995
  • Corpus ID: 27652844
The maximum likelihood (ML) expectation maximization (EM) approach in emission tomography has been very popular in medical… Expand
Highly Cited
1994
Highly Cited
1994
The expectation-maximization (EM) method can facilitate maximizing likelihood functions that arise in statistical estimation… Expand
  • figure 2
  • figure 3