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Proceedings of Machine Learning for Healthcare 2017JMLR W&C Track Volume 68Towards Visioned Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance Albert Haque1 Michelle Guo1
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The JMLR WAMPC track volume is a report that measures the performance of a machine learning algorithm in a specific domain.
Researchers and practitioners who participate in the WAMPC track competition are required to file the JMLR WAMPC track volume.
The JMLR WAMPC track volume should be filled out with detailed information about the machine learning algorithm used, the domain of application, and the results obtained during the competition.
The purpose of the JMLR WAMPC track volume is to provide a comprehensive analysis of the performance of machine learning algorithms in specific domains, which can help researchers improve their algorithms.
The JMLR WAMPC track volume must include information about the algorithm used, the dataset used for testing, the evaluation metrics, and the comparative results with other algorithms.
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