Support Vector Machine Active Learning Algorithms with Query-by-Committee Versus Closest-to-Hyperplane Selection.
Michael BloodgoodPublished in: ICSC (2018)
Keyphrases
- theoretical analysis
- hyperplane
- sample complexity
- query by committee
- support vector machine
- data points
- active learning
- training samples
- learning algorithm
- support vector
- perceptron algorithm
- supervised learning
- feature space
- decision boundary
- svm classifier
- training data
- machine learning
- principal components
- multi class
- training set
- support vectors
- input space
- unlabeled data
- weight vector
- convex hull
- feature selection
- feature vectors
- random sampling
- machine learning algorithms
- kernel function
- semi supervised learning
- dimensionality reduction
- radial basis function
- learning problems
- kernel methods
- training examples
- support vector machine svm
- nearest neighbor
- knn
- soft margin
- high dimensional