Sparse Tensor Additive Regression.
Botao HaoBoxiang WangPengyuan WangJingfei ZhangJian YangWill Wei SunPublished in: CoRR (2019)
Keyphrases
- tensor decomposition
- sparse regression
- sparse bayesian learning
- additive models
- tensor factorization
- high order
- high dimensional
- relevance vector machine
- sparse representation
- additive model
- higher order
- sparse data
- regression model
- canonical correlation analysis
- sparse kernel
- regression problems
- reproducing kernel hilbert space
- sparse matrix
- regression method
- gaussian processes
- diffusion tensor
- partial least squares
- low rank
- linear regression
- model selection
- regularized regression
- compressive sensing
- tensor space
- sparse approximations
- locally weighted
- semi parametric
- simple linear
- magnetic resonance images
- support vector regression
- missing data
- genetic programming
- medical images
- support vector machine