Statistical Learning and Inverse Problems: An Stochastic Gradient Approach.
Yuri R. FonsecaYuri F. SaporitoPublished in: CoRR (2022)
Keyphrases
- statistical learning
- inverse problems
- stochastic gradient
- image reconstruction
- global optimization
- convex optimization
- information theory
- optimization methods
- optimization problems
- stochastic gradient descent
- model selection
- early vision
- partial differential equations
- supervised learning
- machine learning
- information theoretic
- semi supervised learning
- evolutionary algorithm
- multi objective
- similarity measure
- decision trees
- data sets