research
∙
12/12/2017
A Mathematical Programming Approach for Integrated Multiple Linear Regression Subset Selection and Validation
Subset selection for multiple linear regression aims to construct a regr...
share
research
∙
03/15/2017
Optimization for L1-Norm Error Fitting via Data Aggregation
We propose a data aggregation-based algorithm with monotonic convergence...
research
∙
01/27/2017
Subset Selection for Multiple Linear Regression via Optimization
Subset selection in multiple linear regression is to choose a subset of ...
research
∙
01/20/2017
Bayesian Network Learning via Topological Order
We propose a mixed integer programming (MIP) model and iterative algorit...
research
∙
09/10/2016
Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis
Principal component analysis (PCA) is often used to reduce the dimension...
research
∙
07/05/2016
Algorithms for Generalized Cluster-wise Linear Regression
Cluster-wise linear regression (CLR), a clustering problem intertwined w...
research
∙
07/05/2016