Invited Talk: "Scalable statistical learning from dependent, high-dimensional, and structured data"
Time
Monday, 8. November 2021
14:00 - 15:30
Location
Online
Organizer
Mathematisch-Naturwissenschaftliche Sektion, FB Informatik u. Informationswissenschaft
Speaker:
Dr. Michael Schweinberger, University of Missouri
Abstract:
Network, spatial, and temporal data are dependent, high dimensional, and structured data, presenting challenges as well as opportunities for scalable statistical learning. My talk will highlight some of the challenges and some of the opportunities arising from structured data in high dimensional settings, using large scale data on air pollution and professional networks as examples. I will conclude with a classic and modern challenge educators face in the age of COVID 19 The problem of monitoring student progress
based on structured data collected in online educational assessments. To monitor student progress, I will introduce visual learning progression maps that help assess how students progress towards learning targets and help detect disadvantaged students who need more, and different support than other students.
WebEx-Raum: www.uni.kn/sektion1-berufung
nach Anmeldung mit Benutzername und Passwort.