Yangzi Guo

Neural Rule Ensembles: Encoding Sparse Feature Interactions into Neural\n Networks

2020 · arXiv (Cornell University)

Artificial Neural Networks form the basis of very powerful learning methods.\nIt has been observed that a naive application of fully connected neural\nnetworks to data with many irrelevant variables often leads to overfitting. In\nan attempt to …