High Dimensional Bayesian Regularization in Regressions Involving Symmetric Tensors.
Rajarshi GuhaniyogiPublished in: IPMU (3) (2020)
Keyphrases
- high dimensional
- low dimensional
- symmetric matrices
- data points
- data sets
- dimensionality reduction
- nearest neighbor
- high dimensional data
- similarity search
- high order
- sparse data
- dimension reduction
- parameter space
- high dimensional problems
- multi dimensional
- high dimensional spaces
- variable selection
- positive definite
- neural network
- tensor voting
- input space
- sparse coding
- microarray data
- high dimensionality
- multi modal
- gene expression data
- higher order
- pairwise
- support vector
- tensor based morphometry