US 2020/0051550 A1 · MULTI-STAGE MACHINE LEARNING AND RECOGNITION

Abstract

A multi-stage machine learning and recognition system comprises multiple individual machine learning systems arranged in multiple stages, where data is passed from a machine learning system in one stage to one or more machine learning systems in a subsequent, higher-level stage of the structure according to the logic of the machine learning system. The multi-stage machine learning system can be arranged in a final stage and one or more non-final stages, where the one or more non-final stages direct data generally towards a selected one or more machine learning systems within the final stage, but less than all of the machine learning systems in the final stage. The multi-stage machine learning system can additionally include a learning coach and data management system, which is configured to control the distribution of data throughout the multi-stage structure of machine learning systems by observing the internal state of the structure.

Claims28

Dependent claims

A machine learning recognition system comprising:

a final stage comprising N final-stage machine learning classifiers, wherein N>1, and wherein each of the N final-stage machine learning classifiers is for classifying a data input to a classification output;
and
at least one non-final stage, wherein each of the at least one non-final stages comprises one or more machine learning, data assignment classifiers that assigns each data input to one or more of, and less than N of, the N final-stage machine learning classifiers.

Dependencies are inferred from the claim text.

Multi-stage machine learning and recognition

Life of this patent

Multi-stage machine learning and recognition

Life of this patent

Abstract

Claims28