Interactive Causality-Enabled Adaptive Machine Learning in Cyber-Physical Systems
Yutian Ren,
Aaron Yen,
Salaar Saraj
et al.
Abstract:This chapter describes an adaptive machine learning (ML) method for the utilization of unlabeled data for continual model adaptation after deployment. Current methods for the usage of unlabeled data, such as unsupervised and semi-supervised methods, rely on being both smooth and static in their distributions. In this chapter, a generic method for leveraging causal relationships to automatically associate labels with unlabeled data using state transitions of asynchronous interacting cause and effect events is d… Show more
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