Adversarial domain adaptation to reduce sample bias of a high energy physics classifier.
Jose M. ClavijoPaul GlaysherJudith M. KatzyPublished in: CoRR (2020)
Keyphrases
- domain adaptation
- high energy physics
- test data
- training data
- co training
- cross domain
- target domain
- multiple sources
- labeled data
- scientific data
- semi supervised
- transfer learning
- semi supervised learning
- sufficient training data
- sentiment classification
- text classification
- training samples
- document classification
- support vector
- unlabeled data
- machine learning
- class labels
- classification algorithm
- decision trees
- learning algorithm
- training examples
- knowledge transfer
- sentiment analysis
- supervised learning
- support vector machine
- data model
- training set
- feature space
- information retrieval