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:20201101T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:6828e82c0f1d0 DTSTART;TZID=America/Toronto:20201211T100000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20201211T100000 URL:/computer-science/events/masters-thesis-presentatio n-data-systems-scaling-machine-learning-data-repair-systems-for-sparse-dat asets SUMMARY:Master’s Thesis Presentation • Data Systems — Scaling Machine \nLearning Data Repair Systems for Sparse Datasets CLASS:PUBLIC DESCRIPTION:Summary \n\nPLEASE NOTE: THIS MASTER’S THESIS PRESENTATION W ILL BE GIVEN\nONLINE.\n\nOMAR ATTIA\, MASTER’S CANDIDATE\n_David R. Che riton School of Computer Science_\n\nSUPERVISOR: Professor Ihab Ilyas\n\nM achine learning data repair systems (e.g.\, HoloClean) have achieved\nstat e-of-the-art performance for the data repair problem on many\ndatasets. Ho wever\, these systems still face significant challenges\nwhen applied to s parse datasets.\n DTSTAMP:20250517T194900Z END:VEVENT END:VCALENDAR