Investigation of bagging-like effects and decision trees versus neural nets in protein secondary structure prediction.
Nitesh V. ChawlaThomas E. MooreKevin W. BowyerLawrence O. HallClayton SpringerW. Philip KegelmeyerPublished in: BIOKDD (2001)
Keyphrases
- neural nets
- decision trees
- protein secondary structure prediction
- machine learning
- protein secondary structure
- feed forward
- learning tasks
- ensemble methods
- random forest
- decision tree induction
- machine learning algorithms
- random forests
- neural network
- naive bayes
- base classifiers
- back propagation
- meta learning
- counter propagation
- decision tree learning
- artificial neural networks
- training set
- ensemble learning
- artificial intelligence
- training data
- decision making
- image segmentation
- learning experience
- active learning
- decision tree classifiers
- learning algorithm