Sample Subset Optimization Techniques for Imbalanced and Ensemble Learning Problems in Bioinformatics Applications.
Pengyi YangPaul D. YooJuanita I. FernandoBing Bing ZhouZili ZhangAlbert Y. ZomayaPublished in: IEEE Trans. Cybern. (2014)
Keyphrases
- learning problems
- machine learning
- learning algorithm
- binary classification
- binary classification problems
- learning tasks
- machine learning algorithms
- supervised learning
- imbalanced data
- kernel methods
- multi task
- sample complexity
- reinforcement learning
- pac learning
- ensemble methods
- text mining
- neural network
- ensemble learning
- computational learning theory
- training set
- semi supervised learning
- training data
- base learners
- sample size
- data analysis
- decision trees
- transfer learning
- feature selection
- convex optimization problems
- training examples
- active learning
- binary classifiers
- prior knowledge
- object recognition