Split machine learning systems
AssigneeTimbre Technologies, Inc.
InventorsWei Liu, Junwei Bao
Life of this patent
Estimating the term…
Abstract
Split machine learning systems can be used to generate an output for an input. When the input is received, a determination is made as to whether the input is within a first, second, or third range of values. If the input is within the first range, the output is generated using a first machine learning system. If the input is within the second range, the output is generated using a second machine learning system. If the input is within the third range, the output is generated using the first and second machine learning systems.
Claims23
A method of using split machine learning systems to generate an output for an input, the method comprising:
- a) receiving the input;
- b) determining if the input is within a first, second, or third range of values;
- c) if the input is within the first range, generating the output using a first machine learning system;
- d) if the input is within the second range, generating the output using a second machine learning system;
- and
- e) if the input is within the third range, generating the output using the first and second machine learning systems.
A machine learning system to generate an output for an input, the system comprising:
- a first machine learning system;
- a second machine learning system;
- and
- an interface connected to the first and second machine learning systems, wherein the interface is configured to:
- a) receive the input;
- b) determine if the input is within a first, second, or third range of values;
- c) if the input is within the first range, generate the output using the first machine learning system;
- d) if the input is within the second range, generate the output using a second machine learning system;
- and
- e) if the input is within the third range, generate the output using the first and second machine learning systems.
A computer-readable storage medium containing computer executable instructions for using split machine learning systems to generate an output for an input, comprising instructions for:
- a) receiving the input;
- b) determining if the input is within a first, second, or third range of values;
- c) if the input is within the first range, generating the output using a first machine learning system;
- d) if the input is within the second range, generating the output using a second machine learning system;
- and
- e) if the input is within the third range, generating the output using the first and second machine learning systems.
Dependencies are inferred from the claim text.