Systems and methods for Bayesian optimization using non-linear mapping of input
US10074054B2 · kind B2 · utility
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Key dates
| Filing date | May 30, 2014 |
| Grant date | Sep 11, 2018 |
| Priority date | — |
| Expiry date | Sep 11, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for use in connection with performing optimization using an objective function that maps elements in a first domain to values in a range. The techniques include using at least one computer hardware processor to perform: identifying a first point at which to evaluate the objective function at least in part by using an acquisition utility function and a probabilistic model of the objective function, wherein the probabilistic model depends on a non-linear one-to-one mapping of elements in the first domain to elements in a second domain; evaluating the objective function at the identified first point to obtain a corresponding first value of the objective function; and updating the probabilistic model of the objective function using the first value to obtain an updated probabilistic model of the objective function.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.