Wednesday, May 13th 2015
Title: Clustering of DNA sequences (ca 20 min.
Novel sequencing technologies allow for the analysis of largeamounts of genomic information. Especially, the de novo analysis ofunknown species plays an increasingly important role. Here, analysiscannot rely on existing information such as from data bases.Instead, the complex data sets require for unsupervised techniquessuch as dimension reduction and clustering. Especially, the latterplays a particular role, for example in the discovery of new lifeforms or the study of the human microbiome. We give an overview onthe problem and show how unsupervised machine learning techniques,especially clustering, can be used to enable the analysis of thishigh-dimensional and potentially noisy data.
Colloquium coordinators are Prof.dr. M. Aiello (e-mail :
Prof.dr. M. Biehl (e-mail:
Title: Visualization of Classifiers (ca. 20 min. + discussion)
Albeit automated classifiers offer a standard tool in many application areas, there exists hardly a generic possibility to directly inspect their behavior. We present a framework how to visualize a given classifier and its behavior as concerns a given data set in two dimensions. More specifically, we use modern nonlinear dimensionality reduction (DR) techniques to project a given set of data points and their relation to the classification decision boundaries. With a given data set, this framework can be used to visualize any trained classifier which provides a probability or certainty of the classification together with the predicted class label.
De Rijksuniversiteit Groningen en de Carl von Ossietzky Universität Oldenburg (UOL) vieren dit jaar veertig jaar samenwerking. Dit doen zij door het hernieuwen van de samenwerkingsovereenkomst tijdens de opening van het Oldenburgse academisch jaar...
The COVID-19 restrictions have been tightened once again. To many staff members and students, this feels like a step backwards. We chatted with members of the Board of the University Jouke de Vries, Cisca Wijmenga and Hans Biemans about managerial...
Biological clocks have sizeable effects on the performance of elite athletes. This conclusion was drawn by chronobiologists from the University of Groningen after studying the times achieved by swimmers in four different Olympic Games. Shifting the...