Research Summaries

Back Analysis of Evaluation Methods for Machine Learning and Adaptive Systems

Fiscal Year 2019
Division Graduate School of Operational & Information Sciences
Department Computer Science
Investigator(s) Luqi
Sponsor Space & Naval Warfare Systems Command (Navy)
Summary Proposed work will explore evaluation methods for machine learning and adaptive systems and assess them relative to evaluation methods for traditionally engineered software. The Navy would like to take advantage of advances in machine learning and artificial intelligence in constructing software that can adapt to changing situations. This kind of software differs from traditionally engineered systems because it can change its behavior after deployment. This introduces new challenges with respect to evaluation methods.
Keywords AI Evaluation adaptive systems machine learning
Publications Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal
Data Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal