CPC G06N 7/01 (2023.01) [G06N 5/01 (2023.01)] | 20 Claims |
1. A predictive engine for generating optimized multivariate responses, the predictive engine comprising:
an optimizer configured to receive an observed dataset having inputs and multivariate responses;
select latent response variables;
measure dependencies between multivariate responses;
correlate the dependencies with the latent response variables; and
a predictor configured to generate a predictive distribution of probabilities for the latent variables, map the probabilities to multivariate responses, generate a predictive distribution of probabilities for the multivariate responses, and determine at least one optimized input from the multivariate responses.
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