US 12,354,006 B2
System and method for multi-task learning
Matthew Holbrook, Chicago, IL (US); Jennifer Hobbs, Chicago, IL (US); and Patrick Joseph Lucey, Chicago, IL (US)
Assigned to STATS LLC, Chicago, IL (US)
Filed by STATS LLC, Chicago, IL (US)
Filed on Jan. 5, 2024, as Appl. No. 18/405,218.
Application 18/405,218 is a continuation of application No. 18/175,262, filed on Feb. 27, 2023, granted, now 11,900,254.
Application 18/175,262 is a continuation of application No. 16/804,914, filed on Feb. 28, 2020, granted, now 11,593,647, issued on Feb. 8, 2023.
Claims priority of provisional application 62/812,511, filed on Mar. 1, 2019.
Prior Publication US 2024/0160921 A1, May 16, 2024
Int. Cl. G06N 3/08 (2023.01); G06N 3/04 (2023.01)
CPC G06N 3/08 (2013.01) [G06N 3/04 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for generating a multi-modal prediction, the computer-implemented method comprising:
receiving, by one or more processors, match data for a sporting match;
extracting, by the one or more processors, a plurality of parameters associated with an event of a play-by-play event sequence from the match data;
generating, by the one or more processors, an input data set from the plurality of extracted parameters;
generating, by the one or more processors, a multi-modal prediction based on the input data set; and
generating, by the one or more processors, one or more graphical representations of the multi-modal prediction for the event of the play-by-play event sequence.