N Iscoe, R Miikkulainen - US Patent 10,438,111, 2019 - Google Patents
Roughly described, the technology disclosed provides a so-called machine learned conversion optimization (MLCO) system that uses evolutionary computations to efficiently …
R Miikkulainen, N Iscoe - US Patent 11,062,196, 2021 - Google Patents
Roughly described, the technology disclosed provides a so-called machine-learned conversion optimization (MLCO) system that uses artificial neural networks and evolutionary …
A method for finding a solution to a problem is provided. The method includes storing candidate individuals in a candidate pool and evolving the candidate individuals by …
N Iscoe, R Miikkulainen - US Patent 11,386,318, 2022 - Google Patents
Roughly described, the technology disclosed provides a so-called machine learned conversion optimization (MLCO) system that uses evolutionary computations to efficiently …
R Severn - US Patent 10,726,196, 2020 - Google Patents
The technology disclosed is generally directed to massively multivariate testing, conversion rate optimization, and product recommendation and, in particular, directed to automatically …
(57) ABSTRACT A computing device receives factor information indicating multiple factors (eg, hyperparameters for designing a sys tem comprising a machine learning algorithm) …
P Marquess - US Patent 10,171,608, 2019 - Google Patents
the compression can also mean that, when such compressed files are transported over a communications network such as the Internet, a reduced bandwidth is required compared …
DGM Legrand, J Jiang, R Severn - US Patent 11,755,979, 2023 - Google Patents
A method for finding a best solution to a problem is provided. The method includes evolving candidate individuals in a candidate pool by testing each candidate individual of the …