US 11,727,293 B2
Predictive engine for generating multivariate predictive responses
Sayan Chakraborty, Tulsa, OK (US); and Daniel Scott, Broken Arrow, OK (US)
Assigned to Cloud Software Group, Inc., Fort Lauderdale, FL (US)
Filed by Cloud Software Group, Inc., Fort Lauderdale, FL (US)
Filed on Jul. 2, 2021, as Appl. No. 17/367,055.
Application 17/367,055 is a continuation of application No. 16/141,635, filed on Sep. 25, 2018, granted, now 11,093,848.
Claims priority of provisional application 62/563,971, filed on Sep. 27, 2017.
Prior Publication US 2022/0004911 A1, Jan. 6, 2022
Int. Cl. G06N 7/01 (2023.01); G06N 5/01 (2023.01)
CPC G06N 7/01 (2023.01) [G06N 5/01 (2023.01)] 20 Claims
OG exemplary drawing
 
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.