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» Model Selection and Error Estimation
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IAT
2010
IEEE
15 years 1 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
ICDM
2005
IEEE
128views Data Mining» more  ICDM 2005»
15 years 9 months 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 3 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
140
Voted
WSC
2008
15 years 5 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
141
Voted
AI
1998
Springer
15 years 3 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