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cs.LG2022★ 1 cited
Learning Robust Kernel Ensembles with Kernel Average Pooling
Pouya Bashivan, Adam Ibrahim, Amirozhan Dehghani +1
Model ensembles have long been used in machine learning to reduce the variance in individual model predictions, making them more robust to input perturbations. Pseudo-ensemble meth…
cs.LG2018★ 1 cited
Predictive Modeling with Delayed Information: a Case Study in E-commerce Transaction Fraud Control
Junxuan Li, Yung-wen Liu, Yuting Jia +2
In Business Intelligence, accurate predictive modeling is the key for providing adaptive decisions. We studied predictive modeling problems in this research which was motivated by…