Statistical Analysis, Machine Learning and Image Analysis - SAMBA
The SAMBA department has comprehensive theoretical and practical knowledge in the fields of statistics, machine learning and image analysis. We are one of Europe's largest and most competent groups within applied statistics and statistical-matematical modelling. We cover a broad spectrum of methods and are a world leader in some of these areas. The appropriate choice of method for the various problems is thus one of our strengths. Many calculations involve uncertainty and the accurate calculation of this quantity is an important speciality.
Last 5 scientific articles
Stoyanchev, Svetlana; Lison, Pierre; Bangalore, Srinivas. Rapid Prototyping of Form-driven Dialogue Systems Using an Open-source Framework. In: Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue. (ISBN 978-1-945626-23-4). pp 216-219. 2016. Full-text
Lison, Pierre; Kennington, Casey. OpenDial: A Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics. (ISBN 978-1-945626-03-6). pp 67-72. 2016.
Guttorp, Peter; Särkkä, Aila; Ylitalo, Anna-Kaisa. What we look at in paintings: A comparison between experienced and inexperienced art viewers. Annals of Applied Statistics (ISSN 1932-6157). 10(2) pp 549-574. doi: 10.1214/16-AOAS921. 2016.