3 papers
cs.DB2025
Selective Use of Yannakakis' Algorithm to Improve Query Performance: Machine Learning to the Rescue
Daniela Böhm, Georg Gottlob, Matthias Lanzinger +4
Query optimization has played a central role in database research for decades. However, more often than not, the proposed optimization techniques lead to a performance improvement…
cs.AI2021
Deep Artificial Intelligence for Fantasy Football Language Understanding
Aaron Baughman, Micah Forester, Jeff Powell +3
Fantasy sports allow fans to manage a team of their favorite athletes and compete with friends. The fantasy platform aligns the real-world statistical performance of athletes to fa…
cs.AI2021
Large Scale Diverse Combinatorial Optimization: ESPN Fantasy Football Player Trades
Aaron Baughman, Daniel Bohm, Micah Forster +9
Even skilled fantasy football managers can be disappointed by their mid-season rosters as some players inevitably fall short of draft day expectations. Team managers can quickly di…