Location: https://wwu.zoom.us/j/93028999169

Opening Session / Keynote: Machine Learning in Biometry

Chairs: Werner Brannath and Katja Ickstadt

Speakers: Andreas Faldum (Conference president) , Frank Müller (Dean of the Medical Faculty), Werner Brannath (President of the IBS-DR), Markus Lewe (Mayor, City of Münster) || Keynote speaker: Chris Holmes

Title: Machine Learning in Biometrics
Chris Holmes

Machine learning (ML) and artificial intelligence (AI) have had a major impact across many disciplines including biometrics. In the first half of this talk we will review some of the characteristics of ML that make for successful applications and also those features that present challenges, in particular around robustness and reproducibility. Relatively speaking, ML is mainly concerned with prediction while the majority of biometric analyses are focussed on inference. In the second half of the talk we will review the prediction-inference dichotomy and explore, from a Bayesian perspective, the theoretical foundations on how modern ML predictive models can be utilised for inference.