Sparse Symmetric Tensor Regression for Functional Connectivity Analysis.
Da XuPublished in: CoRR (2020)
Keyphrases
- sparse regression
- sparse bayesian learning
- tensor decomposition
- regression model
- sparse kernel
- high order
- tensor factorization
- relevance vector machine
- sparse data
- canonical correlation analysis
- positive semi definite
- sparse representation
- higher order
- regression problems
- symmetric positive definite
- support vector
- regression algorithm
- regression analysis
- linear regression
- model selection
- genetic programming
- high dimensional
- locally weighted
- neural network
- simple linear
- regression function
- gaussian processes
- dimensionality reduction
- sparse approximations