Support vector machine active learning by Hessian regularization.
Weifeng LiuLianbo ZhangDapeng TaoJun ChengPublished in: J. Vis. Commun. Image Represent. (2017)
Keyphrases
- active learning
- support vector machine
- training set
- statistical learning theory
- machine learning
- multi class
- svm classifier
- empirical risk minimization
- semi supervised
- imbalanced data classification
- selective sampling
- support vector
- sample selection
- hyperplane
- random sampling
- stochastic gradient descent
- learning algorithm
- semi supervised learning
- k nearest neighbor
- feature selection
- training data
- feature space
- pool based active learning
- active learning strategies
- batch mode
- regularization parameter
- decision forest
- feature vectors
- learning process
- transfer learning
- supervised learning
- kernel function
- support vector machine svm
- soft margin
- music emotion classification
- svm classification
- parameter selection
- sample complexity
- step size
- prior information
- kernel methods
- training examples
- labeled data
- relevance feedback
- decision boundary
- binary classification
- radial basis function
- hessian matrix
- crowd sourced
- unlabeled data
- knn