Kernel Two-Sample Hypothesis Testing Using Kernel Set Classification
Published in arXiv (Cornell University) • Jun 18, 2017
Authors:
Hamed Masnadi-Shirazi
Abstract
The two-sample hypothesis testing problem is studied for the challenging scenario of high dimensional data sets with small sample sizes. We show that the two-sample hypothesis testing problem can be posed as a one-class set classification problem. In the set classification problem the goal is to cla...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!