Classifying circuit performance using active-learning guided support vector machines.
Honghuang LinPeng LiPublished in: ICCAD (2012)
Keyphrases
- active learning
- support vector
- large margin classifiers
- learning machines
- training examples
- learning algorithm
- version space
- logistic regression
- support vector machine
- generalization error
- kernel function
- high speed
- selective sampling
- loss function
- machine learning
- learning strategies
- random sampling
- semi supervised learning
- supervised learning
- automatic classification
- learning process
- cross validation
- generalization ability
- kernel methods
- svm classifier
- relevance feedback
- semi supervised
- multi class
- feature selection
- classification accuracy
- training set
- active learning strategies
- multi class classification
- sample selection
- learning environment
- pool based active learning
- neural network
- logic circuits
- analog circuits
- soft margin
- decision function
- batch mode
- maximum margin
- sample complexity
- low power
- hyperplane