A comparative Study for Ball Bearing Fault Classification Using Kernel-SVM with Kullback Leibler Divergence Selected Features.
Zahra MezniClaude DelphaDemba DialloAhmed BrahamPublished in: IECON (2019)
Keyphrases
- selected features
- support vector
- classification method
- feature selection
- svm classifier
- kullback leibler divergence
- classification accuracy
- support vector machine svm
- support vector machine
- classification rate
- cross validation
- mutual information
- feature set
- kernel function
- feature space
- classification algorithm
- extracted features
- feature vectors
- feature subset
- kernel methods
- image classification
- text classification
- knn
- machine learning
- feature extraction
- training data
- feature selection algorithms
- training set
- pattern recognition
- model selection
- decision trees
- information theoretic
- information theory
- k nearest neighbor
- distance measure
- recognition rate
- machine learning algorithms
- learning algorithm
- high dimensional
- image analysis
- multi class
- supervised learning