Semi-supervised Regression with Data Partitioning and Feature Mapping.
Li-Yan LiuJia-Hui ZhangFan MinPublished in: DSAA (2022)
Keyphrases
- data partitioning
- feature mapping
- semi supervised
- manifold learning
- multiple instance learning
- semi supervised learning
- labeled data
- nonlinear dimensionality reduction
- feature space
- highly scalable
- similarity search
- pairwise
- unlabeled data
- supervised learning
- query processing
- spam filtering
- query execution
- support vector regression
- hierarchical clustering
- multi view
- subspace learning
- high dimensional data
- data sets
- distributed memory
- locally linear embedding
- laplacian eigenmaps
- active learning
- support vector
- dimension reduction
- knn
- nearest neighbor
- response time
- high dimensional
- data analysis
- machine learning