SICSA DVF Masterclass – Predicting multi-view and structured data with kernel methods

Date(s) - 10/05/2019
11:00 am - 1:00 pm

University of Glasgow, School of Computing Science

SICSA DVF Professor Juho Rousu, Aalto University will be presenting a Masterclass on Predicting multi-view and structured data with kernel methods at the University of Glasgow on Friday 10 May 2019

During the last two decades, kernel methods – including, but not limited to the celebrated support vector machine  – have been extremely succesfull in many walks of life. They continue to be a good alternative to deep neural networks in many real-world applications where data is complex and high-dimensional, and the amount of training data is medium-scale – from hundreds to a few tens of thousands of training examples.

In this masterclass I will focus on how kernel methods can be used for applications where the prediction setup involves heterogeneous or structured data, in particular learning with multiple data sources and predicting structured output.

More information on the Masterclass can be found at

Professor Rousu is being hosted by Dr Simon Rodgers, University of Glasgow.

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