Predictive engine for generating multivariate predictive responses
US11093848B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 25, 2018 |
| Grant date | Aug 17, 2021 |
| Priority date | — |
| Expiry date | Aug 8, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A predictive engine includes an optimizer and a predictor. The optimizer is configured to receive an observed dataset having inputs and multivariate responses and determine latent response variables based on the predictive inputs and the multivariate responses. The optimizer is further configured to select latent response variables, measure dependencies between multivariate responses, estimate coefficients that relate the input predictors to determined latent response variables, and correlate dependencies and coefficients with the latent response variables. The predictor is 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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.