Semi-Supervised Learning Classification Based on Generalized Additive Logistic Regression for Corporate Credit Anomaly Detection
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3035128
Abstract: Conventional corporate credit evaluation models are primarily based solely on financial variables in conjunction with supervised learning methods. However, the acquisition of the labeled sample information required by supervised learning methods is generally a costly… read more here.
Keywords: financial variables; credit anomaly; supervised learning; corporate credit ... See more keywords