ICML 2018 success for CCB and Turing researchers

Research led by CCB Faculty and Alan Turing Institute Fellow, Dr Christopher Yau, and his Turing PhD Enrichment student Tammo Rukat has been accepted for publication at the prestigious 2018 International Conference in Machine Learning to be held in Stockholm, Sweden this year. 

The paper entitled "TensOr Machine: Probabilistic Boolean Tensor Decomposition" describes a new machine learning algorithm to identify patterns in large, multi-dimensional binary (consisting of 0s and 1s) data sets including the way genes are expressed in cancers.

The work will be presented alongside work from the world leading artificial intelligence and machine learning researchers and organisations including Microsoft and Google.