Understanding how to update beliefs from evidence is a foundational skill in statistics and machine learning. This project gives you a practical beginner workflow where you can: specify prior beliefs ...
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Abstract: Functional tensor decomposition can analyze multi-dimensional data with real-valued indices, paving the path for applications in machine learning and signal processing. A limitation of ...
Abstract: Remaining useful life (RUL) prediction is fundamental to prognostics and health management (PHM) in industrial systems. In practical deployment, rotating machinery operates over long service ...