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» Model Selection and Error Estimation
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193
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IAT
2010
IEEE
15 years 5 months ago
Trustworthiness Tendency Incremental Extraction Using Information Gain
Computational trust systems are getting popular in several domains such as social networks, grid computing and business-to-business systems. However, the estimation of the trustwo...
Joana Urbano, Ana Paula Rocha, Eugenio Oliveira
202
Voted
ICDM
2005
IEEE
128views Data Mining» more  ICDM 2005»
16 years 19 days ago
An Expected Utility Approach to Active Feature-Value Acquisition
In many classification tasks training data have missing feature values that can be acquired at a cost. For building accurate predictive models, acquiring all missing values is of...
Prem Melville, Foster J. Provost, Raymond J. Moone...
JMLR
2000
134views more  JMLR 2000»
15 years 6 months ago
Learning with Mixtures of Trees
This paper describes the mixtures-of-trees model, a probabilistic model for discrete multidimensional domains. Mixtures-of-trees generalize the probabilistic trees of Chow and Liu...
Marina Meila, Michael I. Jordan
197
Voted
WSC
2008
15 years 9 months ago
Large deviations perspective on ordinal optimization of heavy-tailed systems
We consider the problem of selecting the best among several heavy-tailed systems using a large deviations perspective. In contrast to the light-tailed setting studied by Glynn and...
Jose Blanchet, Jingchen Liu, Bert Zwart
227
Voted
AI
1998
Springer
15 years 6 months ago
Uncertainty Measures of Rough Set Prediction
The main statistics used in rough set data analysis, the approximation quality, is of limited value when there is a choice of competing models for predicting a decision variable. ...
Ivo Düntsch, Günther Gediga