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» Theory and Use of the EM Algorithm
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ECML
2005
Springer
14 years 2 months ago
Estimation of Mixture Models Using Co-EM
We study estimation of mixture models for problems in which multiple views of the instances are available. Examples of this setting include clustering web pages or research papers ...
Steffen Bickel, Tobias Scheffer
CISS
2007
IEEE
14 years 3 months ago
An EM Technique for Multiple Transmitter Localization
— We propose an expectation-maximization (EM) technique for locating multiple transmitters based on power levels observed by a set of arbitrarily-placed receivers. Multiple trans...
Jill K. Nelson, Maya R. Gupta
NIPS
2003
13 years 10 months ago
Computing Gaussian Mixture Models with EM Using Equivalence Constraints
Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...
Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daph...
ACL
2004
13 years 10 months ago
Chinese Verb Sense Discrimination Using an EM Clustering Model with Rich Linguistic Features
This paper discusses the application of the Expectation-Maximization (EM) clustering algorithm to the task of Chinese verb sense discrimination. The model utilized rich linguistic...
Jinying Chen, Martha Stone Palmer
ICML
2005
IEEE
14 years 9 months ago
Incomplete-data classification using logistic regression
A logistic regression classification algorithm is developed for problems in which the feature vectors may be missing data (features). Single or multiple imputation for the missing...
David Williams, Xuejun Liao, Ya Xue, Lawrence Cari...