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Bayesian Nonparametrics for Non-exhaustive Learning
[article]
2019
arXiv
pre-print
Non-exhaustive learning (NEL) is an emerging machine-learning paradigm designed to confront the challenge of non-stationary environments characterized by anon-exhaustive training sets lacking full information about the available classes.Unlike traditional supervised learning that relies on fixed models, NEL utilizes self-adjusting machine learning to better accommodate the non-stationary nature of the real-world problem, which is at the root of many recently discovered limitations of deep
arXiv:1908.09736v1
fatcat:kvdp2uhnknhgvj2co4qpvg6g4q