Welcome to the Data Science Colloquium of the ENS.
This colloquium is organized around data sciences in a broad sense with the goal of bringing together researchers with diverse backgrounds (including for instance mathematics, computer science, physics, chemistry and neuroscience) but a common interest in dealing with large scale or high dimensional data.
The seminar takes place, unless exceptionally noted, on the first Tuesday of each month at 12h00 at the Physics Department of ENS, 24 rue Lhomond, in room CONF IV (2nd floor).
The colloquium is followed by an open buffet around which participants can meet and discuss collaborations.
These seminars are made possible by the support of the CFM-ENS Chair “Modèles et Sciences des Données”.
You can check the list of the next seminars below and the list of past seminars.
Videos of some of the past seminars are available online.
The colloquium is organized by:
Feb. 27th, 2020, 12h00-13h00, room Jean Jaures (29 Rue d’Ulm).
Michael Biehl (University of Groningen)
Title: Prototype-Based Classifiers and Their Application in the Life Science
Abstract: This talk briefly reviews important aspects of prototype based systems in the context of supervised learning. A key issue is the choice of an appropriate distance or similarity measure for the task at hand. The powerful framework of relevance learning will be discussed, in which parameterized distance measures are adapted together with the prototypes in the same data-driven training process. Example applications in the bio-medical domain are presented in order to illustrate the concept: (I) the classification of adrenocortical tumors using steroid metabolomics data, (II) the early diagnosis of rheumatoid arthritis based on cytokine expression and (III) the detection and discrimination of neuro- degenerative diseases in 3D brain images.