Fast Laplacian twin support vector machine with active learning for pattern classification.
Reshma RastogiSweta SharmaPublished in: Appl. Soft Comput. (2019)
Keyphrases
- pattern classification
- active learning
- support vector machine
- decision boundary
- training set
- machine learning
- pattern recognition
- feature extraction
- statistical learning theory
- svm classifier
- maximum margin
- nearest neighbor rule
- semi supervised
- pattern classification problems
- support vector machine svm
- training data
- supervised learning
- k nearest neighbor
- feature selection
- kernel function
- learning algorithm
- probabilistic neural network
- kernel methods
- radial basis function neural network
- fuzzy classifier
- labeled data
- semi supervised learning
- classification method
- hyperplane
- neural network
- unlabeled data
- support vector
- feature vectors
- artificial neural networks
- mass spectrometry data
- discriminant embedding
- transfer learning
- sparse coding
- classification algorithm
- generalization error
- image classification
- knn
- data points
- data sets