The randomized information coefficient: assessing dependencies in noisy data

Simone Romano; Nguyen Xuan Vinh; Karin Verspoor; James Bailey

Journal article

The randomized information coefficient: assessing dependencies in noisy data

Simone Romano, Nguyen Xuan Vinh, Karin Verspoor, James Bailey

Machine Learning | SPRINGER | Published : 2018

DOI: 10.1007/s10994-017-5664-2

University of Melbourne Researchers

Karin Verspoor Author Computing and Information Systems

James Bailey Author Computing and Information Systems

Grants

Funding Acknowledgements

Simone Romano's work was supported by a Melbourne International Research Scholarship (MIRS). James Bailey's work was supported by an Australian Research Council Future Fellowship. Experiments were carried out on Amazon cloud supported by AWS in Education Grant Award.