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Bericht über die Absolventenfeier 2019

Am 5. April fand die Absolventenfeier der Fakultät Statistik statt. Ein bebilderter Bericht über die Reden, Ehrungen und musikalischen Beiträge kann hier nachgelesen werden.

(Bildnachweis: Ines Burghardt)

 

SFB 876 Vortrag

Title: Learning in a dynamic and ever changing world

Speaker: Geoff Webb (Monash University Melbourne)

When: May 9, 2019 4:15:00 PM

Where: OH 14, E23

The world is dynamic - in a constant state of flux - but most learned models are static. Models learned from historical data are likely to decline in accuracy over time. I will present our recent work on how to address this serious issue that confronts many real-world applications of machine learning. Methodology: we are developing objective quantitative measures of drift and effective techniques for assessing them from sample data. Theory: we posit a strong relationship between drift rate, optimal forgetting rate and optimal bias/variance profile, with the profound implication that the fundamental nature of a learning algorithm should ideally change as drift rate changes. Techniques: we have developed the Extremely Fast Decision Tree, a statistically more efficient variant of the incremental learning workhorse, the Very Fast Decision Tree.

 

SFB 823 Vortrag

Testing independence of random elements with the distance covariance

Speaker: Thomas Mikosch (Department of Mathematics, University of Copenhagen, Denmark)

When and where?

Tuesday, April 23, 2019, 4.30 pm, M / E21

 

SFB 876 Vortrag

Title: Scalable Time-series Classification

Speaker: Josif Grabocka (University of Hildesheim)

When: 25.05.2019, 16:15

Where: OH 14, E23

Time-series classification is a pillar problem for the machine learning community, particularly considering the wide range of applicable domains. In this talk, the focus is on prediction models that are scalable both in terms of the training efforts, but also with regards to the inference time and memory footprint. Concretely, time-series classification through models that are based on discriminative patterns will be presented. Finally, the talk will end with a recent application on biometric verification.

 

Retro-Computer-Festival

Beim 60. Retro-Computer-Festival in Paderborn war auch ein Mitglied der Fakultät Statistik zugegen: Simon Ferber stellte seinen "Kiwi"-Computer vor.

Zum Artikel in der Neuen Westfälischen

 

Statistik im Beruf

11.04.2019 Thilo Kosack (Fachreferent Produktstrategie / -entwicklung, Barmer, Wuppertal)

Titel: "So viele Daten - als Statistiker in der gesetzlichen Krankenversicherung arbeiten"

Krankenversicherungen verfügen über sehr viele Daten zu einer großen Anzahl von Personen. In Zeiten, in denen das Schlagwort KI allgegenwärtig scheint, wächst der Wunsch, diese Daten bestmöglich zu nutzen. Statistikern bieten sich in diesem Umfeld spannende und herausfordernde Tätigkeiten.

Der Vortrag findet am 11.04.2019 um 16.15 Uhr in Raum M/E 21 statt.

 

SFB 823 Vortrag

Limit theorems for empirical cluster functionals with applications to statistical inference

Speaker: Rafal Kulik (Department of Mathematics and Statistics, University of Ottawa, Ontario, Canada)

When and where?

Tuesday, April 9, 2019, 4.30 pm, M / E21