A Study on Efficacy of Ensamble Methods for Classification Learning.
Thomas L. Ngo-YelAbhijit DuttPublished in: ICIS (2009)
Keyphrases
- empirical studies
- benchmark datasets
- machine learning methods
- multi category
- classification method
- supervised learning algorithms
- discriminative learning
- robust classification
- cross validation
- bayesian methods
- machine learning algorithms
- reinforcement learning
- classification systems
- kernel learning
- supervised learning
- learning tasks
- learning problems
- image classification
- undergraduate students
- pattern recognition
- learning algorithm
- machine learning
- multiclass classification
- secondary school
- accurate classification
- experimental design
- learning models
- incremental learning
- decision trees
- training set
- feature vectors
- unsupervised learning
- learning process
- multi class
- classification accuracy
- significant improvement
- bias variance analysis
- neural network
- text classification
- mobile learning
- human experts
- benchmark data sets
- ensemble methods
- qualitative and quantitative