Combining protein secondary structure prediction models with ensemble methods of optimal complexity.
Yann GuermeurGianluca PollastriAndré ElisseeffDominique ZelusHélène Paugam-MoisyPierre BaldiPublished in: Neurocomputing (2004)
Keyphrases
- ensemble methods
- protein secondary structure prediction
- machine learning methods
- multiple models
- prediction accuracy
- decision trees
- majority voting
- ensemble learning
- decision tree ensembles
- random forests
- classification models
- generalization ability
- random forest
- classification accuracy
- optimal solution
- drifting concepts
- genetic algorithm