Network adjustment based on machine learning end system performance monitoring feedback
AssigneeRochester Institute of Technology
InventorsLeon Reznik, Sergei Chuprov
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AssigneeRochester Institute of Technology
InventorsLeon Reznik, Sergei Chuprov
Estimating the term…
A system, method, and computer readable storage medium for generating instructions to adjust a network parameter. The system, method, and computer readable storage medium include: i) receiving data transmitted from a data source to a machine learning end-system via a network facility, the data transmission being characterized by a network parameter; ii) making a decision with the machine learning end-system, using the data, iii) determining a decision performance metric for the decision, iv) comparing the decision performance metric to a decision performance specification; and v) generating instructions to adjust the network parameter based on the comparison.
A method (200) for generating an instruction to adjust a network parameter (120), the method comprising:
A non-transitory computer readable storage medium, the computer readable storage medium having computer readable code embodied therein, the computer readable code being configured such that, on execution by a suitable computer or processor, the computer or processor is caused to perform a method comprising:
An integrated machine learning system (100), the system comprising:
(106) via a network facility (104), the data transmission being characterized by a network parameter (120);
Dependencies are inferred from the claim text.