In October 2016, ERCIM News No. 107 was published: http://ercim-news.ercim.eu/en107. It features a special theme on current trends and new paradigms in Machine Learning, coordinated by the guest editors Sander Bohte (CWI ) and Hung Son Nguyen (University of Warsaw).
Contributions from the Netherlands to No. 107 are:
Special Theme:
- Introduction to the Special Theme: Modern Machine Learning: More with Less, Cheaper and Better by Sander Bohte (CWI) and Hung Son Nguyen (University of Warsaw)
- Marrying Graphical Models with deep Learning by Max Welling (University of Amsterdam
- Robust and Adaptive Methods for Sequential Decision Making by Wouter M. Koolen (CWI)
- Bonaparte: Bayesian Networks to Give Victims back their Names by Bert Kappen and Wim Wiegerinck (University Nijmegen)
The Research and Society section on Open Access - Open Science
- ERCIM Goes to Open Access by Jos Baeten (CWI) and Claude Kirchner (Inria)
- Scientific data and Preservation – Policy Issues for the Long-term Record by Vera Sarkol (CWI)
- Mathematics in Open Access – MathOA by Johan Rooryck and Saskia de Vries (p.14)
In brief section
This issue is also available for download in pdf and ePUB
Next issue:No. 108, January 2017 - Special Theme: ‘Computational Imaging’
Picture: Cover of ERCIM News 107. Source: ERCIM News
