Machine Learning Laboratory


Contact: Bert Huang

The Machine Learning Laboratory investigates the methodology, algorithms, and theory of machine learning. It especially focuses on the problem of machine learning for complex phenomena, where data is best modeled as multi-relational, multi-modal networks. It emphasizes the joint exploration of theoretical, algorithmic, and applied research and aims to exploit connections within these views to strengthen understanding of each.

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