Quantitative Issues in Cancer Research Working Seminar

Cathy WangDoctoral Student, Department of Biostatistics, Harvard University”Multi-Study Semi-Supervised Learning: A First Look”ABSTRACT: In many machine learning applications, the gold standard label is difficult or expensive to obtain. Semi-supervised learning (SSL) methods leverage unlabeled data to improve a model’s performance when only limited labeled data is available. We investigate the replicability of the performance of SSL classifiers in a multi-study setting. Event Url https://ems.sph.harvard.edu/MasterCalendar/EventDetails.aspx?data=hHr80o3M7J5kCl%2fsdVicuh2HS3V1FSx%2bOywFz%2b%2bsHGtezMjUgkInTPyuGRvLHEii