|
|
119 *
|
Mon, 8/3/2020,
1:00 PM -
2:50 PM
|
Virtual
|
Statistical Learning Applications for Autonomous Systems in Defense and National Security — Topic Contributed Papers
|
Section on Statistics in Defense and National Security, Section on Statistical Learning and Data Science, Section on Statistical Computing
|
Organizer(s): Joseph D Warfield, Johns Hopkins University Applied Physics Laboratory
|
Chair(s): Justin T Newcomer, Sandia National Laboratories
|
1:05 PM
|
Tallis: A Statistical Approach for Dimension Reduction of Mixed-Type Variables
Alexander Foss, Sandia National Laboratories
|
1:25 PM
|
Challenges in Test and Evaluation of AI-Enabled Systems in the DoD
Jane Pinelis, DoD Joint Artificial Intelligence Center
|
1:45 PM
|
Multinomial Pattern Matching
John Richards, Sandia National Laboratories
|
2:05 PM
|
Leveraging Machine Learning for Autonomy Testing and Evaluation
Galen Mullins, Johns Hopkins University Applied Physics Laboratory
|
2:25 PM
|
Demystifying the Black Box: A Strategy for Testing AI-Enabled Systems
Heather Wojton, Institute for Defense Analyses; Daniel Porter, Institute for Defense Analyses
|
2:45 PM
|
Floor Discussion
|