Icebreaker: New model with novel element-wise information acquisition method reduces cost and data needed to train machine learning models
November 25, 2019 | Cheng Zhang and Sebastian Tschiatschek
In many real-life scenarios, obtaining information is costly, and getting fully observed data is almost impossible. For example, in the recruiting world, obtaining relevant information (in other words, a feature value) for a company could mean performing time-consuming interviews. The same applies to many other…
