Genetic algorithm based on support vector machines for computer vision syndrome classification in health personnel.
Eva María Artime RíosAna Suárez SánchezFernando Sánchez LasherasMaría del Mar Seguí CrespoPublished in: Neural Comput. Appl. (2020)
Keyphrases
- support vector
- computer vision
- classification accuracy
- pattern recognition
- learning machines
- support vector machine
- cross validation
- machine learning
- generalization ability
- large margin classifiers
- svm classifier
- feature selection
- image processing
- support vector machine svm
- svm classification
- classification algorithm
- classification method
- image understanding
- image classification
- decision trees
- information systems
- soft margin
- model selection
- feature extraction
- information technology
- training examples
- classification models
- pattern classification
- kernel methods
- classification scheme
- binary classification
- multi class classification
- maximum margin
- image analysis
- training set
- feature space
- support vectors
- learning algorithm
- neural network
- computer graphics
- class labels
- benchmark datasets
- data processing
- vision system
- signal processing
- supervised learning