Enhancing Protein Fold Prediction Accuracy Using an Ensemble of Different Classifiers.
Abdollah DehzangiSomnuk Phon-AmnuaisukOmid DehzangiPublished in: Aust. J. Intell. Inf. Process. Syst. (2009)
Keyphrases
- prediction accuracy
- ensemble methods
- ensemble learning
- majority voting
- classifier ensemble
- ensemble classifier
- ensemble members
- individual classifiers
- multiple classifiers
- base classifiers
- training data
- ensemble pruning
- improve the prediction accuracy
- predictive power
- combining classifiers
- predictive accuracy
- training set
- random forest
- weighted voting
- final classification
- weak learners
- binary classification
- machine learning algorithms
- classifier combination
- feature selection
- classification algorithm
- trained classifiers
- multiple classifier systems
- remote homology detection
- protein structure
- accurate classifiers
- training samples
- amino acids
- web page prediction
- learning algorithm
- feature set
- svm classifier
- protein structure prediction
- machine learning methods
- benchmark datasets
- decision trees
- protein backbone
- estimation accuracy