Bayesian Generalized Sparse Symmetric Tensor-on-Vector Regression.
Sharmistha GuhaRajarshi GuhaniyogiPublished in: Technometrics (2021)
Keyphrases
- sparse bayesian learning
- relevance vector machine
- gaussian processes
- tensor factorization
- sparse matrix
- symmetric matrix
- eigenvalue decomposition
- order tensor
- sparse regression
- bayesian learning
- tensor decomposition
- high order
- support vector machine
- covariance function
- canonical correlation analysis
- symmetric matrices
- higher order tensors
- higher order
- regression methods
- bayesian networks
- nonlinear regression
- support vector regression
- vector space
- regression model
- feature vectors
- compressive sensing
- diffusion tensor
- maximum likelihood
- least squares
- high dimensional