Training Instance Random Sampling Based Evidential Classification Forest Algorithms.
Liyao MaBin SunChunyan HanPublished in: FUSION (2018)
Keyphrases
- classification algorithm
- machine learning algorithms
- sufficient training data
- avoid overfitting
- training phase
- training set
- support vector machine svm
- decision trees
- data structure
- training process
- benchmark datasets
- supervised learning
- training samples
- classification models
- computationally efficient
- support vector
- feature vectors
- multi layer perceptron
- pattern recognition
- machine learning methods
- pattern classification
- preprocessing
- computational complexity
- learning algorithm
- optimization problems
- svm training
- training algorithm
- classification method
- feature space
- artificial neural networks
- computational cost
- data sets