System, method and computer-readable medium for quality prediction
Assignee17LIVE Japan Inc.
InventorsLi-Han CHEN, Jin-Wei LIU, Yi-Hsiung CHEN, Yung-Chi HSU
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Abstract
The present disclosure relates to a system, a method and a computer-readable medium for quality prediction. The method includes obtaining values of a parameter of a first endpoint, obtaining values of a parameter of a second endpoint, and generating a prediction of the parameter of the first endpoint according to the values of the parameter of the first endpoint and the values of the parameter of the second endpoint. The prediction includes probability distribution information of the parameter of the first endpoint at a timing in the future. The present disclosure can result in a more precise quality prediction.
Claims11
A method for quality prediction, comprising:
- obtaining values of a parameter of a first endpoint;
- obtaining values of a parameter of a second endpoint;
- and
- generating a prediction of the parameter of the first endpoint according to the values of the parameter of the first endpoint and the values of the parameter of the second endpoint;
- wherein the prediction includes probability distribution information of the parameter of the first endpoint at a timing in the future.
A system for quality prediction, comprising one or a plurality of processors, wherein the one or plurality of processors execute a machine-readable instruction to perform:
- obtaining values of a parameter of a first endpoint;
- obtaining values of a parameter of a second endpoint;
- and
- generating a prediction of the parameter of the first endpoint according to the values of the parameter of the first endpoint and the values of the parameter of the second endpoint;
- wherein the prediction includes probability distribution information of the parameter of the first endpoint at a timing in the future.
A non-transitory computer-readable medium including a program for quality prediction, wherein the program causes one or a plurality of computers to execute:
- obtaining values of a parameter of a first endpoint;
- obtaining values of a parameter of a second endpoint, and
- generating a prediction of the parameter of the first endpoint according to the values of the parameter of the first endpoint and the values of the parameter of the second endpoint;
- wherein the prediction includes probability distribution information of the parameter of the first endpoint at a timing in the future.
Dependencies are inferred from the claim text.