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» Theory and Use of the EM Algorithm
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SIGMOD
2000
ACM
212views Database» more  SIGMOD 2000»
14 years 29 days ago
SQLEM: Fast Clustering in SQL using the EM Algorithm
Clustering is one of the most important tasks performed in Data Mining applications. This paper presents an e cient SQL implementation of the EM algorithm to perform clustering in...
Carlos Ordonez, Paul Cereghini
AAAI
2000
13 years 10 months ago
Estimating Word Translation Probabilities from Unrelated Monolingual Corpora Using the EM Algorithm
Selecting the right word translation among several options in the lexicon is a core problem for machine translation. We present a novel approach to this problem that can be traine...
Philipp Koehn, Kevin Knight
COLING
2002
13 years 8 months ago
Base Noun Phrase Translation Using Web Data and the EM Algorithm
We consider here the problem of Base Noun Phrase translation. We propose a new method to perform the task. For a given Base NP, we first search its translation candidates from the...
Yunbo Cao, Hang Li
NIPS
1998
13 years 10 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis
APAQS
2000
IEEE
14 years 1 months ago
Software Quality Prediction Using Mixture Models with EM Algorithm
The use of the statistical technique of mixture model analysis as a tool for early prediction of fault-prone program modules is investigated. The Expectation-Maximum likelihood (E...
Ping Guo, Michael R. Lyu