Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification.
Jiachen ChenDanyang HuangLiyuan WangKathryn L. LunettaDebarghya MukherjeeHuimin ChengPublished in: CoRR (2024)
Keyphrases
- regression model
- transfer learning
- generalized linear models
- model selection
- high dimensional
- text classification
- machine learning
- restricted boltzmann machine
- learning tasks
- cross domain learning
- labeled data
- decision trees
- support vector machine
- feature space
- multi task
- cross domain
- machine learning algorithms
- semi supervised learning
- reinforcement learning
- regression methods
- domain adaptation
- response variable
- knowledge transfer
- classification accuracy
- structure learning
- feature extraction
- prediction model
- cross validation
- label information
- supervised learning
- transfer knowledge
- multi task learning
- support vector
- logistic regression
- regression analysis
- sparse coding
- active learning
- similarity measure
- unsupervised learning
- collaborative filtering
- nearest neighbor
- variable selection
- feature selection
- kernel function
- text categorization
- low dimensional
- dimensionality reduction
- learning algorithm
- information retrieval
- multivariate regression
- data mining