An Experimental Evaluation of Ensemble Methods for Pattern Classification.
Muhammad Kashif KhanAhmer UmerPublished in: CICSyN (2011)
Keyphrases
- pattern classification
- ensemble methods
- experimental evaluation
- prediction accuracy
- random forests
- ensemble learning
- benchmark datasets
- decision trees
- machine learning methods
- random forest
- drifting concepts
- nearest neighbor rule
- generalization ability
- pattern recognition
- base classifiers
- feature extraction
- bootstrap sampling
- decision boundary
- base learners
- machine learning
- image classification
- pattern classification problems
- decision tree ensembles
- feature subset
- classification accuracy
- subspace methods
- similarity measure
- discriminant embedding