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This document summarizes a research paper about developing a method for adapting an existing machine learning model when the underlying domain changes in an anomalous way. Specifically, it focuses on adapting a hidden Markov model (HMM) for annotating tennis matches when the type of match changes from singles to doubles. The method uses a lattice representation of the tennis court to model ball movements between different areas of the court. It aims to detect when the definition of the "play area" changes b
- Author
- Frontiers
- Language
- EN