BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Drupal iCal API//EN
X-WR-CALNAME:Events items teaser
X-WR-TIMEZONE:America/Toronto
BEGIN:VTIMEZONE
TZID:America/Toronto
X-LIC-LOCATION:America/Toronto
BEGIN:DAYLIGHT
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
DTSTART:20200308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
DTSTART:20191103T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:69d4c667e7e64
DTSTART;TZID=America/Toronto:20200424T160000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20200424T160000
URL:https://uwaterloo.ca/computer-science/events/masters-thesis-presentatio
 n-machine-learning-local-graph-clustering-using-l1-regularized-pagerank-al
 gorithms
LOCATION:200 University Avenue West Online Zoom presentation Waterloo ON N2
 L 3G1 Canada
SUMMARY:Master’s Thesis Presentation • Machine Learning — Local Graph
 \nClustering Using l1-regularized PageRank Algorithms
CLASS:PUBLIC
DESCRIPTION:PLEASE NOTE: THIS MASTER’S THESIS PRESENTATION WILL BE GIVEN 
 ONLINE.\n\nCHUFENG HU\, MASTER’S CANDIDATE\n_David R. Cheriton School o
 f Computer Science_\n\nLocal graph clustering methods are used to find sma
 ll- and\nmedium-scale clusters without traversing the graph. It has been s
 hown\nthat the combination of the Approximate Personalized PageRank (APPR)
 \nalgorithm and the sweep method can efficiently detect a small cluster\na
 round the starting vertex. 
DTSTAMP:20260407T085503Z
END:VEVENT
END:VCALENDAR