Experimental Analysis of Moments of Predictive Deviations as Ensemble Diversity Measures for Model Selection in Time Series Prediction.
Shuichi KurogiKohei OnoTakeshi NishidaPublished in: ICONIP (3) (2013)
Keyphrases
- model selection
- diversity measures
- classifier ensemble
- cross validation
- ensemble classifier
- hyperparameters
- classification models
- regression model
- sample size
- non stationary
- artificial neural networks
- fusion framework
- parameter estimation
- selection criterion
- feature selection
- model selection criteria
- machine learning
- variable selection
- unsupervised learning
- generalization error
- ensemble learning
- information criterion
- ensemble methods
- base classifiers
- majority voting
- objective measures
- multiple classifier systems
- bayesian information criterion
- prior knowledge