Probabilistic Neural Data Fusion for Learning from an Arbitrary Number of Multi-fidelity Data Sets

Carlos Mora, Jonathan Tammer Eweis-Labolle, Tyler Johnson +2

In many applications in engineering and sciences analysts have simultaneous access to multiple data sources. In such cases, the overall cost of acquiring information can be reduced…