Metric Learning for Kernel Regression.
Kilian Q. WeinbergerGerald TesauroPublished in: AISTATS (2007)
Keyphrases
- kernel regression
- metric learning
- distance metric
- regression model
- nadaraya watson
- semi supervised
- pairwise
- learning tasks
- dimensionality reduction
- mahalanobis metric
- multi task
- feature space
- linear regression
- regression methods
- distance function
- semi supervised learning
- parameter optimization
- neural network
- transfer learning
- pattern recognition
- cross validation
- background knowledge
- labeled data
- model selection
- principal component analysis
- data mining