Protein Fold Prediction Problem Using Ensemble of Classifiers.
Abdollah DehzangiSomnuk Phon-AmnuaisukKeng Hoong NgEhsan MohandesiPublished in: ICONIP (2) (2009)
Keyphrases
- ensemble classifier
- subcellular localization
- remote homology detection
- feature ranking
- ensemble learning
- training data
- multiple classifiers
- ensemble pruning
- classifier ensemble
- ensemble methods
- majority voting
- training set
- neural network ensemble
- prediction accuracy
- feature selection
- drug design
- contact map
- protein structure prediction
- ensemble members
- final classification
- randomized trees
- individual classifiers
- protein sequences
- weighted voting
- support vector
- protein secondary structure
- combining classifiers
- contact maps
- random forest
- base classifiers
- machine learning algorithms
- decision trees
- imbalanced data
- amino acids
- protein classification
- protein structure
- svm classifier
- machine learning methods
- class label noise
- learning algorithm
- training samples
- predicting protein
- neural network
- multiple classifier systems
- concept drift
- random forests
- mhc class ii
- protein interaction
- rule induction algorithm
- one class support vector machines
- trained classifiers
- classifier combination
- secondary structure
- naive bayes
- feature set
- machine learning