Refereed

CS007 Discriminant Analysis: From Cellwise Contamination to Deep Learning

Wed, Apr 29, 1:15 PM - 2:45 PM Room Executive Ballroom AB Hyatt Regency Milwaukee

Data Science Applications

2 Presentations

Application of cellwise minimum covariance determinant estimator to discriminant analysis

1:20 PM - 1:45 PM

Co-authors: Andrews Anum (The University of Memphis), Michael Pokojovy (Old Dominion University), Andrews Anum (The University of Memphis)

LDA QDA cellwise outliers robust inference classification supervised learning

Simplex Deep Linear Discriminant Analysis

1:45 PM - 2:10 PM

Co-authors: Zhenisbek Assylbekov (Purdue University Fort Wayne; National Center of Space Research and Technology), Arman Bolatov (Machine Learning Department, Mohamed bin Zayed University of Artificial Intelligence), Zhenisbek Assylbekov (Purdue University Fort Wayne; National Center of Space Research and Technology), Maxat Tezekbayev (Nazarbayev University)

neural networks discriminant analysis