Generative Local Metric Learning for Kernel Regression.
Yung-Kyun NohMasashi SugiyamaKee-Eung KimFrank C. ParkDaniel D. LeePublished in: NIPS (2017)
Keyphrases
- metric learning
- kernel regression
- regression model
- distance metric
- semi supervised
- generative model
- pairwise
- learning tasks
- dimensionality reduction
- multi task
- distance function
- regression methods
- linear regression
- feature space
- unsupervised learning
- machine learning
- supervised learning
- parameter optimization
- pattern recognition
- learning experience
- transfer learning
- markov random field
- multi class
- knn
- decision trees