An interpretable regression approach based on bi-sparse optimization.
Zhiwang ZhangGuangxia GaoTao YaoJing HeYingjie TianPublished in: Appl. Intell. (2020)
Keyphrases
- sparse bayesian learning
- global optimization
- regression model
- sparse data
- optimization problems
- sparse pca
- sparse regression
- support vector regression
- optimization algorithm
- canonical correlation analysis
- business intelligence
- optimization methods
- constrained optimization
- gaussian processes
- optimization method
- elastic net
- relevance vector machine
- polynomial regression
- sparse kernel
- support vector