Deep Latent-Variable Kernel Learning.
Haitao LiuYew-Soon OngXiaomo JiangXiaofang WangPublished in: CoRR (2020)
Keyphrases
- kernel learning
- latent variables
- probabilistic model
- support vector regression
- kernel function
- random variables
- latent variable models
- kernel matrix
- semi supervised
- multiple kernel learning
- gaussian process
- prior knowledge
- dimensionality reduction
- pairwise constraints
- kernel methods
- learning tasks
- distance metric
- topic models
- data sets
- feature space
- metric learning
- pairwise