Extracting useful knowledge from big data is important for machine learning. When data is privacy-sensitive and cannot be directly collected, federated learning is a promising option that extracts ...

In many research areas scientists are interested in clustering objects within small datasets while making use of prior knowledge from large reference datasets. We propose a method to apply the machine ...

This webinar will present the knowledge capture methods that are important for retaining and transferring the tacit knowledge that is critical to a nuclear organization, in terms of safety, ...