ENHANCING THE RELIABILITY OF LEARNING MACHINES IN COMPUTER NETWORKS
First Claim
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1. A method, comprising:
- processing network data using a Learning Machine (LM) algorithm in a network;
determining results of the processing of network data;
selecting a reliability checking algorithm to determine a reliability level of the results, the reliability checking algorithm being a local reliability checking algorithm or an external reliability checking algorithm;
determining the reliability level of the results using the reliability checking algorithm; and
adjusting the LM algorithm based on the determined reliability level.
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Abstract
In one embodiment, network data is processed using a Learning Machine (LM) algorithm in a network, and results of the processing of network data are determined. A reliability checking algorithm is selected to determine a reliability level of the results. The reliability checking algorithm may be a local reliability checking algorithm or an external reliability checking algorithm. The reliability level of the results is determined using the reliability checking algorithm. Then, the LM algorithm is adjusted based on the determined reliability level.
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Citations
23 Claims
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1. A method, comprising:
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processing network data using a Learning Machine (LM) algorithm in a network; determining results of the processing of network data; selecting a reliability checking algorithm to determine a reliability level of the results, the reliability checking algorithm being a local reliability checking algorithm or an external reliability checking algorithm; determining the reliability level of the results using the reliability checking algorithm; and adjusting the LM algorithm based on the determined reliability level. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. An apparatus, comprising:
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one or more network interfaces that communicate with a network; a processor coupled to the one or more network interfaces and configured to execute a process; and a memory configured to store program instructions which contain the process executable by the processor, the process comprising; processing network data using a Learning Machine (LM) algorithm in the network; determining results of the processing of network data; selecting a reliability checking algorithm to determine a reliability level of the results, the reliability checking algorithm being a local reliability checking algorithm or an external reliability checking algorithm; determining the reliability level of the results using the reliability checking algorithm; and is adjusting the LM algorithm based on the determined reliability level. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
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23. A tangible non-transitory computer readable medium storing program instructions that cause a computer to execute a process, the process comprising:
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processing network data using a Learning Machine (LM) algorithm in a network; determining results of the processing of network data; selecting a reliability checking algorithm to determine a reliability level of the results, the reliability checking algorithm being a local reliability checking algorithm or an external reliability checking algorithm; determining the reliability level of the results using the reliability checking algorithm; and adjusting the LM algorithm based on the determined reliability level.
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Specification