Radiomap Blind Prediction under Incomplete Observation: Error Characterization and Correctable Propagation-Prior Learning
Under incomplete observation, a population-level theory of deterministic radiomap blind prediction is established that identifies the conditional mean as its optimal target and separates prediction error into reducible predictor approximation and irreducible uncertainty caused by missing physical information.
Xiao-Jie Li, Yu Han, Han Fang et al.
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