CPC G06N 20/20 (2019.01) [G06N 20/10 (2019.01); G06N 3/044 (2023.01); G06N 3/047 (2023.01)] | 20 Claims |
11. A system, comprising:
a data acquisition unit that acquires an input dataset corresponding to a physical process of a subject, wherein the input dataset is generated by at least one of a machine;
a database unit communicatively coupled to the data acquisition unit that stores a plurality of reference models corresponding to a plurality of classes of the physical process, wherein each of the plurality of reference models comprises a corresponding plurality of latent space variables of corresponding versions of a machine learning model;
a model generation unit communicatively coupled to the database unit that generates a new data model based on the input dataset, wherein the new data model comprises a plurality of latent space variables of a new version of the machine learning model;
a controller unit communicatively coupled to the model generation unit that:
compares the new data model with each of the plurality of reference models to generate a plurality of distance metric values;
selects a reference model among the plurality of reference models based on the plurality of distance metric values; and
classifies the physical process of the subject with one of the plurality of classes based on the one of the plurality of classes corresponding to the reference model.
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