More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming.
Vo Nguyen Le DuyIchiro TakeuchiPublished in: CoRR (2021)
Keyphrases
- nonmonotonic inference
- programming language
- feature selection
- linear regression
- bayesian networks
- computer programming
- least squares
- variable selection
- bayesian inference
- belief networks
- random field model
- inference process
- statistical inference
- random fields
- probabilistic inference
- cross validation
- sparse representation
- logic programming
- model selection
- development environment
- object oriented programming
- object oriented
- programming environment
- hidden markov models
- expert systems
- conditional logic
- set valued
- multiscale
- image segmentation