Sparsity in Max-Plus Algebra and Applications in Multivariate Convex Regression.
Nikos TsilivisAnastasios TsiamisPetros MaragosPublished in: ICASSP (2021)
Keyphrases
- regression model
- squared loss
- group lasso
- multivariate regression
- model selection
- sparse approximations
- high dimensional
- sparse representation
- linear regression
- regression analysis
- sparsity inducing
- convex hull
- convex optimization
- regression methods
- algebraic expressions
- piecewise linear
- regression method
- regression problems
- data model
- query language
- regression algorithm
- relational algebra
- convex sets
- support vector regression
- control charts
- regression function
- artificial neural networks
- regularized regression
- face recognition
- algebraic geometry
- simple linear
- locally weighted
- ridge regression
- multivariate data
- linear programming
- convex relaxation
- partial least squares
- gaussian process
- least squares