BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20261017T083624Z
UID:https://www.fhi.mpg.de/events/27297/72770
DTSTART:20210204T131500Z
CLASS:PUBLIC
CREATED:20210201T113551Z
DESCRIPTION:Change notice: Online Seminar of the NOMAD Laboratory\nUnsuperv
 ised methods in data analysis aim at obtaining a synthetic description of 
 high-dimensional data landscapes\, revealing their structure and their sal
 ient features. We will describe an approach for charting complex and heter
 ogeneous data spaces\, providing a topography of the high-dimensional prob
 ability density from which the data are harvested.\nSpeaker: Prof. Alessan
 dro Laio
LAST-MODIFIED:20210615T071846Z
LOCATION:https://us02web.zoom.us/j/88500983651?pwd=M01ZRGJiVzFKRkhYRmN5ZkJq
 eUxKQT09\, Room: Meeting ID: 885 0098 3651 I Password: NOMAD
ORGANIZER;CN=NOMAD Laboratory:mailto:
SUMMARY:A Seminar of the NOMAD Laboratory: Automatic topography of multidim
 ensional probability densities
URL;VALUE=URI:https://www.fhi.mpg.de/events/27297/72770
END:VEVENT
END:VCALENDAR