On OWA, Machine Learning and Big Data: The case for IFS over universes

Abstract

This paper provides a holistic view of open-world machine learning by investigating class discovery, and class incremental learning under OWA. The challenges, principles, and limitations of current methodologies are discussed in detail. Finally, we position IFS over multiple universes as a formalism to capture the evolution in Big Data as part of incremental learning.