Telefonaktiebolaget LM Ericsson (publ)
METHODS AND SYSTEMS FOR DYNAMIC SERVICE PERFORMANCE PREDICTION USING TRANSFER LEARNING

Abstract:

Systems and methods are provided for generating a data driven target model associated with a service having a first configuration. The method including: determining if there is an existing data driven source model for the service having a second configuration which is different from the first configuration; wherein if there is an existing data driven source model, determining whether a level of differences between the first configuration and the second configuration enables the existing data driven source model to be used as a source model for the data driven target model being generated; wherein if there is no existing data driven source model or if the level of differences for the existing data driven source model does not enable the existing data driven source model for the first configuration to be used, then requesting a source domain.