Presentations Available from Machine Learning Meetup – 18 October 2017

The ADS Meet-up offers the opportunity for researchers and business to share their knowledge and give insight on a central theme, specifically on the afternoon of Wednesday 18 October this was Machine Learning.

All presentations can be viewed HERE

Introduction & Chair by Peter Bloem ADS Researcher in Machine Learning & Knowledge Representation (VU)

Speaker 1: Zeynep Akata Assistant Professor, Informatics Institute, University of Amsterdam (UvA), Scientific Manager, Delta Lab and Senior Researcher, Max Planck Institute for Informatics, Germany will present on: “Discovering and synthesizing novel concepts with minimal supervision”

Speaker 2: Jie Tang Associate Professor, Knowledge Engineering Lab, Department of Computer Science and Technology, Tsinghua University, Beijing, China will present on: AMiner:  Mining Deep Knowledge from Scientific Networks”

Speaker 3: Peter Grünwald Professor – Universiteit Leiden, Scientific Staff Member, Group Leader Department of Machine Learning, Centrum Wiskunde & Informatica (CWI) Amsterdam will present on: Bayesian inference when the model is wrong”

All presentations can be viewed HERE

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