Tube Inner Circumference State Classification Optimization by Using Artificial Neural Networks, Random Forest and Support Vector Machines Algorithms.
Wei-Ting LiChung-Wen HungChing-Ju ChenPublished in: ICS (2018)
Keyphrases
- random forest
- using artificial neural networks
- support vector
- decision tree learning algorithms
- decision trees
- classification accuracy
- classification algorithm
- machine learning algorithms
- fold cross validation
- random forests
- benchmark datasets
- ensemble classifier
- support vector machine
- machine learning
- feature ranking
- machine learning methods
- feature set
- naive bayes
- feature selection
- cross validation
- feature extraction
- logistic regression
- feature importance
- large margin classifiers
- multi label
- image classification
- learning algorithm
- generalization ability
- data sets
- cancer classification
- training data
- artificial neural networks
- ensemble learning
- optimization method
- text categorization
- svm classifier
- support vector machine svm