Information Gain Sampling for Active Learning in Medical Image Classification.
Raghav MehtaChangjian ShuiBrennan NichyporukTal ArbelPublished in: CoRR (2022)
Keyphrases
- information gain
- image classification
- active learning
- random sampling
- text categorization
- decision trees
- feature selection
- chi square
- chi squared
- mutual information
- feature extraction
- image representation
- bag of words
- semi supervised
- gain ratio
- naive bayes
- learning algorithm
- training set
- image features
- sampling methods
- svm classifier
- feature selection for text categorization
- correlation coefficient
- unlabeled data
- machine learning
- sample size
- neural network
- semi supervised learning
- class imbalance
- labeled data
- supervised learning
- learning process
- feature subset
- version space
- co occurrence
- document frequency
- occurrence probabilities