3 papers
stat.ML2019
Shallow Self-Learning for Reject Inference in Credit Scoring
Nikita Kozodoi, Panagiotis Katsas, Stefan Lessmann +2
Credit scoring models support loan approval decisions in the financial services industry. Lenders train these models on data from previously granted credit applications, where the…
cs.LG2018
MetaBags: Bagged Meta-Decision Trees for Regression
Jihed Khiari, Luis Moreira-Matias, Ammar Shaker +2
Ensembles are popular methods for solving practical supervised learning problems. They reduce the risk of having underperforming models in production-grade software. Although criti…
cs.LG2018
Robust Continuous Co-Clustering
Xiao He, Luis Moreira-Matias
Clustering consists of grouping together samples giving their similar properties. The problem of modeling simultaneously groups of samples and features is known as Co-Clustering. T…