Support Vector Machine Active Learning Algorithms with Query-by-Committee versus Closest-to-Hyperplane Selection.
Michael BloodgoodPublished in: CoRR (2018)
Keyphrases
- hyperplane
- support vector machine
- query by committee
- active learning
- data points
- learning algorithm
- training samples
- supervised learning
- perceptron algorithm
- support vector
- svm classifier
- machine learning
- decision boundary
- feature space
- training data
- sample complexity
- principal components
- generalization error
- kernel function
- input space
- unlabeled data
- labeled data
- multi class
- machine learning algorithms
- learning problems
- nearest neighbor
- support vectors
- training examples
- weight vector
- feature selection
- data mining
- pattern recognition
- learning process
- k nearest neighbor
- training set
- high dimensional
- feature vectors
- radial basis function
- convex hull
- data streams
- high dimensional data
- input image
- semi supervised