Investigation of Feature Inputs for Binary Classification of Ultrasonic NDT Signals using SVM and Neural Networks.
Kushal VirupakshappaErdal OrukluPublished in: MWSCAS (2019)
Keyphrases
- binary classification
- support vector
- neural network
- multi class
- multi class classification
- support vector machine
- cost sensitive
- learning problems
- prediction accuracy
- multi label
- multiclass classification
- ensemble methods
- pattern recognition
- feature vectors
- svm classification
- generalization error
- artificial neural networks
- binary classification problems
- binary classifiers
- class imbalance
- nonlinear kernel
- genetic algorithm
- support vector machine svm
- data mining
- loss function
- kernel methods
- cross validation
- training examples
- image classification
- markov random field
- image features
- active learning
- reinforcement learning
- feature selection
- learning algorithm