Workflow from Scientific Research

Figure b. provides a detailed view of the Variational Gaussian Process Regression (VGPR) process within each expert. Each VGPR expert uses a squared exponential kernel to compute the covariance matrix and performs Bayesian inference with microbial data. The VGPR outputs include a mean prediction and uncertainty for each metabolite feature. The model combines the outputs from the experts, weighted by the gating network, to produce a final prediction with confidence tailored to the input features

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