Support Vector Machine Pre-pruning Approaches on Decision Trees for Better Classification.
Doreen Ying Ying SimPublished in: EEET (2019)
Keyphrases
- decision trees
- support vector machine
- machine learning algorithms
- decision tree induction
- machine learning
- pruning methods
- svm classifier
- support vector machine svm
- training set
- machine learning methods
- classification method
- support vector
- classification trees
- decision tree algorithms
- predictive accuracy
- classification rules
- classification algorithm
- feature selection
- pattern recognition
- feature space
- feature construction
- feature vectors
- training data
- kernel function
- small sample
- decision tree algorithm
- attribute selection
- svm classification
- high classification accuracy
- random forest
- search space
- feature extraction
- classification accuracy
- supervised learning
- image classification
- decision rules
- avoid overfitting
- decision tree learning
- multi class support vector machines
- multiple classifier systems
- ensemble classifier
- decision boundary
- pattern classification
- kernel methods
- model selection
- training samples