Approximate dynamic programming (ADP) is the standard technique to derive optimal policies in finite-horizon stochastic multistage optimal decision problems, with continuous state space. Yet, it ...
Abstract: Single-domain generalization (SDG) in fault diagnosis aims to train a model that generalizes to unseen conditions using data from a single operating condition. Despite its promise, SDG faces ...
Recent studies on deep ensembles have identified the sharpness of the local minima of individual learners and the diversity of the ensemble members as key factors in improving test-time performance.
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