A Systems Theoretic Approach to Online Machine Learning

arXiv:2404.03775v1 Announce Type: new
Abstract: The machine learning formulation of online learning is incomplete from a systems theoretic perspective. Typically, machine learning research emphasizes domains and tasks, and a problem solving worldview. It focuses on algorithm parameters, features, and samples, and neglects the perspective offered by considering system structure and system behavior or dynamics. Online learning is an active field of research and has been widely explored in terms of statistical theory and computational algorithms, however, in general, the literature …

abstract algorithm arxiv behavior cs.ai cs.lg cs.sy domains eess.sy features machine machine learning online learning parameters perspective research samples systems tasks type