Circuit Performance Classification With Active Learning Guided Sampling for Support Vector Machines.
Honghuang LinPeng LiPublished in: IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. (2015)
Keyphrases
- support vector
- active learning
- classification accuracy
- learning machines
- svm classifier
- random sampling
- support vector machine
- feature selection
- selective sampling
- large margin classifiers
- pattern recognition
- machine learning
- generalization ability
- kernel function
- text classification
- decision trees
- batch mode active learning
- training examples
- cross validation
- sampling strategies
- soft margin
- svm classification
- binary classification
- classification algorithm
- model selection
- image classification
- supervised learning
- hyperplane
- sample size
- rare class
- training set
- multi class classification
- sample selection
- imbalanced data classification
- cost sensitive
- feature extraction
- stratified sampling
- multi class
- imbalanced data
- support vector machine svm
- support vectors
- loss function
- class imbalance
- incremental learning