A learning algorithm for the classification of dynamic events using a neuron-like dynamic tree.
Richard R. GawronskiRita V. RodríguezPublished in: Int. J. Intell. Syst. (1993)
Keyphrases
- learning algorithm
- machine learning algorithms
- classification algorithm
- generalization ability
- decision tree learning algorithm
- machine learning
- automatic classification
- training samples
- pattern recognition
- classification accuracy
- supervised learning
- feature vectors
- classification method
- decision trees
- decision rules
- support vector
- neural network
- tree structure
- model selection
- training data
- support vector machine
- support vector machine svm
- image classification
- dynamic environments
- decision tree learning
- classification trees
- classification models
- feature extraction
- knn
- active learning
- pattern classification
- incremental learning
- cost sensitive
- cross validation
- feature selection
- learning rate
- feature space
- benchmark datasets
- decision forest
- decision tree classifiers
- decision tree learners
- text classification