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» Three Approaches to Probability Model Selection
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AAAI
2000
13 years 6 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
ICDM
2006
IEEE
226views Data Mining» more  ICDM 2006»
13 years 11 months ago
Converting Output Scores from Outlier Detection Algorithms into Probability Estimates
Current outlier detection schemes typically output a numeric score representing the degree to which a given observation is an outlier. We argue that converting the scores into wel...
Jing Gao, Pang-Ning Tan
TIT
1998
126views more  TIT 1998»
13 years 5 months ago
An Asymptotic Property of Model Selection Criteria
—Probability models are estimated by use of penalized log-likelihood criteria related to AIC and MDL. The accuracies of the density estimators are shown to be related to the trad...
Yuhong Yang, Andrew R. Barron
SBRN
2008
IEEE
13 years 11 months ago
Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach
In this work, we propose to use the Zoomed-Ranking approach to ranking and selecting Artificial Neural Network (ANN) models for time series forecasting. Given a time series to fo...
Patrícia M. Santos, Teresa Bernarda Ludermi...
NECO
1998
119views more  NECO 1998»
13 years 5 months ago
Density Estimation by Mixture Models with Smoothing Priors
In the statistical approach for self-organizing maps (SOMs), learning is regarded as an estimation algorithm for a Gaussian mixture model with a Gaussian smoothing prior on the ce...
Akio Utsugi