US 12,106,544 B2
Method, program, and apparatus for managing a tree-based learner
Bin Sun, Luleå (SE); Yang Zuo, Luleå (SE); Rafia Inam, Västerås (SE); Leonid Mokrushin, Uppsala (SE); and Yifei Jin, Solna (SE)
Assigned to TELEFONAKTIEBOLAGET LM ERICSSON (PUBL), Stockholm (SE)
Appl. No. 17/434,971
Filed by Telefonaktiebolaget LM Ericsson (PUBL), Stockholm (SE)
PCT Filed Mar. 1, 2019, PCT No. PCT/SE2019/050180
§ 371(c)(1), (2) Date Aug. 30, 2021,
PCT Pub. No. WO2020/180219, PCT Pub. Date Sep. 10, 2020.
Prior Publication US 2022/0180623 A1, Jun. 9, 2022
Int. Cl. G06V 10/762 (2022.01); G06V 10/70 (2022.01)
CPC G06V 10/7625 (2022.01) [G06V 10/87 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method for managing a tree-based learner, the method comprising
in an initialization phase:
training the tree-based learner with a first set of specimen data to process input data with an active model chain comprising at least a root model to generate an output, each member of the first set of specimen data having a value of each of a first set of features;
in an automated reconfiguration phase:
receiving a new set of specimen data, each member of the new set of specimen data having a value of each of a new set of features;
performing a comparison between the new set of specimen data and the first set of specimen data;
in response to the executed comparison indicating new values of a feature in the new set of specimen data, new values being values of the feature that are outside a range of, or otherwise different from, values of the said feature in the first set of specimen data, reconfiguring the tree-based learner by the addition of a new sub-model to the active model chain, the new sub-model being trained to process at least the new values of the feature.