COOPERATIVELY OPERATING A NETWORK OF SUPERVISED LEARNING PROCESSORS TO CONCURRENTLY DISTRIBUTE SUPERVISED LEARNING PROCESSOR TRAINING AND PROVIDE PREDICTIVE RESPONSES TO INPUT DATA

摘要

A supervised learning processing (SLP) system and non-transitory, computerprogramproduct provides cooperative operation of a network of supervised learningprocessors toconcurrently distribute supervised learning processor training, generatepredictions, and provideprediction driven responses to input objects, such as NL statements. The SLPsystem includesSLP stages that are distributed across multiple SLP subsystems. Concurrentlytraining SLP'sprovides accurate predictions of input objects and responses thereto, the SLPsystem andnon-transitory, computer program product enhance the network by providing highquality valuepredictions and responses and avoiding potential training and operationaldelays. The SLPsystem can enhance the network of SLP subsystems by providing flexibility toincorporatemultiple SLP models into the network and train at least a proper subset of theSLP models whileconcurrently using the SLP system and non-transitory, computer program productin commercialoperation.