System and method for multi-task learning
US12354006B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 5, 2024 |
| Grant date | Jul 8, 2025 |
| Priority date | — |
| Expiry date | Jan 5, 2044 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA63F13/812
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of generating a multi-modal prediction is disclosed herein. A computing system retrieves event data from a data store. The event data includes information for a plurality of events across a plurality of seasons. Computing system generates a predictive model using a mixture density network, by generating an input vector from the event data learning, by the mixture density network, a plurality of values associated with a next play following each play in the event data. The mixture density network is trained to output the plurality of values near simultaneously. Computing system receives a set of event data directed to an event in a match. The set of event data includes information directed to at least playing surface position and current score. Computing system generates, via the predictive model, a plurality of values associated with a next event following the event based on the set of event data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.