Ensemble of Heterogeneous Flexible Neural Tree for the Approximation and Feature-Selection of Poly (Lactic-co-glycolic Acid) Micro- and Nanoparticle.
Varun Kumar OjhaAjith AbrahamVáclav SnáselPublished in: AECIA (2015)
Keyphrases
- feature selection
- neural network
- network architecture
- ensemble learning
- pruning algorithm
- tree structure
- multi class
- machine learning
- wrapper feature selection
- text categorization
- mutual information
- model selection
- support vector machine
- classification accuracy
- discriminative features
- ensemble classifier
- multi task
- ensemble classification
- support vector
- feature space
- feature selection algorithms
- feature set
- information gain
- text classification
- error bounds
- learning algorithm
- decision forest
- feature ranking
- selected features
- approximation algorithms
- random forests
- b tree
- random forest
- microarray data
- induction algorithms
- irrelevant features
- closed form
- training set
- ensemble methods
- classification models