Accelerated Proximal Gradient Descent in Metric Learning for Kernel Regression.
Hector GonzalezCarlos MorellFrancesc J. FerriPublished in: IWAIPR (2018)
Keyphrases
- kernel regression
- metric learning
- margin maximization
- distance metric
- regression model
- pairwise
- dimensionality reduction
- learning tasks
- semi supervised
- loss function
- linear regression
- multi task
- distance function
- objective function
- feature space
- parameter optimization
- regression methods
- semi supervised learning
- knn
- information extraction