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A Novel Dynamic-Weighted Probabilistic Support Vector Regression-Based Ensemble for Prognostics of Time Series Data.
Jie Liu
Valeria Vitelli
Enrico Zio
Redouane Seraoui
Published in:
IEEE Trans. Reliab. (2015)
Keyphrases
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support vector
ensemble learning
feature selection
bayesian networks
kernel methods
generalization ability
mining concept drifting data streams
dynamic environments
posterior probability
ensemble methods
training data
probabilistic model
context sensitive
gaussian process
probabilistic logic