Automatic feature augmentation ranking: XGBoost

Automatic machine learning is a subfield of machine learning that automates the common procedures faced in predictive tasks. The problem of one such procedure is automatic data augmentation, where one desires to enrich the existing data to increase model performance. In relational data repositories, the data is stored in normal form. This causes...

LRFP : Extending local routing protocols in layer 2 networks with a secure fee model

Blockchains like Bitcoin are known to be victim of scalability issues. The lack in high throughput and low latency form a great bottleneck to its network. A promis- ing solution are layer 2 protocols, more precisely payment channel networks (PCN). Payment success rates are a common metric in these networks. These rates can be in- creased by...