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Auditable Hierarchical Inference with Multimodal Evidence and Bayesian Active Inquiry

Liu, Yucheng et al.
arXiv (All) · Papers
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machine-learning
Most multimodal classifiers assume that all useful evidence is available upfront, whereas clinical inquiry is sequential. We present a synthetic evaluation framework separating objective multimodal inference from active inquiry. An objective model maps synthetic tongue, bilateral multipressure pulse
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