A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers.
Pascal GermainAmaury HabrardFrançois LavioletteEmilie MorvantPublished in: ICML (3) (2013)
Keyphrases
- domain adaptation
- linear classifiers
- multi class
- generalization error
- cross domain
- hyperplane
- multiple sources
- labeled data
- sample size
- transfer learning
- sentiment classification
- test data
- semi supervised
- upper bound
- semi supervised learning
- multi task
- svm classifier
- principal components
- domain specific
- target domain
- active learning
- training data
- data sets
- model selection
- sentiment analysis
- document classification
- support vector machine
- learning algorithm