Drift Compensation for E-Nose Using QPSO-Based Domain Adaptation Kernel ELM.
Yulin JianKun LuChangjian DengTailai WenJia YanPublished in: ISNN (2018)
Keyphrases
- domain adaptation
- reproducing kernel hilbert space
- cross domain
- multiple sources
- labeled data
- sentiment classification
- target domain
- semi supervised
- kernel methods
- kernel function
- covariate shift
- semi supervised learning
- transfer learning
- training samples
- rbf neural network
- test data
- machine learning
- data sets
- support vector machine
- feature space
- support vector
- kernel matrix
- unlabeled data
- text mining
- supervised learning
- knn
- training set
- co training
- training data
- data mining