Active learning for penalized logistic regression via sequential experimental design.
Jing WangEunsik ParkPublished in: Neurocomputing (2017)
Keyphrases
- logistic regression
- experimental design
- active learning
- loss function
- uncertainty sampling
- decision trees
- empirical studies
- logistic regression models
- support vector
- least squares
- naive bayes
- sample size
- random sampling
- learning algorithm
- learning strategies
- training set
- training examples
- semi supervised
- pairwise
- model selection
- unlabeled data
- data sets
- semi supervised learning
- text classification
- supervised learning
- nearest neighbor
- class imbalance
- learning process
- feature extraction
- data mining