Transfer learning for sparse variable selection in high-dimensional regression from quadratic measurement.
Qingxu ShangJie LiYunquan SongPublished in: Knowl. Based Syst. (2024)
Keyphrases
- variable selection
- transfer learning
- high dimensional
- linear models
- group lasso
- model selection
- low dimensional
- learning tasks
- labeled data
- dimension reduction
- high dimensional data
- reinforcement learning
- data points
- dimensionality reduction
- multi task
- active learning
- regression model
- cross domain
- machine learning
- transfer knowledge
- pairwise
- text classification
- gaussian processes
- nearest neighbor
- unlabeled data
- semi supervised learning
- sparsity inducing
- structure learning
- cross validation
- text mining
- high dimensionality
- linear regression
- machine learning algorithms
- text categorization
- multi task learning
- data sets
- sparse regression
- collaborative filtering
- ls svm
- feature space
- target domain
- object recognition
- relevance vector machine
- support vector
- structured sparsity
- kernel function
- sparse coding