Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Session Overview
ML1: Machine Learning I
Thursday, 21/Mar/2019:
9:00am - 10:40am

Session Chair: Tim Beißbarth
Location: A 140
Verfügbar: Di-Fr, je 7-23 Uhr Plätze: 382 Technikausstattung: BE, DIA, DVD, MF, MP, TA, TE, V Bestuhlung: fest Grüne Tafel: ja

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9:00am - 9:20am

Stability Assessment for Trees and other Supervised Statistical Learning Results

Michel Philipp1, Thomas Rusch2, Kurt Hornik2, Achim Zeileis3, Carolin Strobl1

1Universität Zürich, Switzerland; 2Wirtschaftsuniversität Wien, Austria; 3Universität Innsbruck, Austria

9:20am - 9:40am

Surrogate minimal depth as an importance measure for variables in random forests

Stephan Seifert, Sven Gundlach, Silke Szymczak

Institute of Medical Informatics and Statistics, Kiel University, Kiel, Germany

9:40am - 10:00am

A classification tree for functional data

Annette Möller, Jan Gertheiss

Clausthal University of Technology, Germany

10:00am - 10:20am

Measuring and optimizing machine learning interpretability

Christoph Molnar, Giuseppe Casalicchio, Bernd Bischl

LMU Munich

10:20am - 10:40am

A multiple testing framework for the efficient statistical evaluation of (machine-learned) prediction models

Max Westphal, Werner Brannath

University of Bremen, Germany

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