Classifier Chains: A Review and Perspectives

no code implementations • 26 Dec 2019 • Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank

This performance led to further studies of how exactly it works, and how it could be improved, and in the recent decade numerous studies have explored classifier chains mechanisms on a theoretical level, and many improvements have been made to the training and inference procedures, such that this method remains among the state-of-the-art options for multi-label learning.

Multi-Label Classification Multi-Label Learning

Deep Learning Inferences with Hybrid Homomorphic Encryption

no code implementations • ICLR 2018 • Anthony Meehan, Ryan K. L. Ko, Geoff Holmes

When deep learning is applied to sensitive data sets, many privacy-related implementation issues arise.

Privacy Preserving Representation Learning