ALGORITHM CONSOLIDATION
    1.
    发明申请

    公开(公告)号:US20200272941A1

    公开(公告)日:2020-08-27

    申请号:US16754515

    申请日:2018-09-11

    Abstract: This disclosure relates to a computer-implemented method of controlling an algorithm, and a device for implementing said method, the method including developing the algorithm from a first state to a second state by a machine learning process; determining a second computational cost of executing the algorithm in its second state; determining if the second computational cost satisfies a trigger condition; and, if so, consolidating the algorithm from the second state to a third state, wherein a third computational cost of executing the algorithm in its third state is less than the second computational cost.

    A COMPUTER-IMPLEMENTED METHOD OF MODIFYING AN ALGORITHM OPERATING ON A COMPUTING SYSTEM

    公开(公告)号:US20220383139A1

    公开(公告)日:2022-12-01

    申请号:US17773105

    申请日:2020-09-08

    Abstract: This invention provides a computer-implemented method of modifying an algorithm operating on a computing system, and a device for implementing said method, the method comprising the steps of: applying the algorithm to a first set of inputs; determining a relevance score for a first input of the first set of inputs based on: a first effectiveness value of the first input, wherein the first effectiveness value represents a contribution of first input to the algorithm, and a first computational cost of the first input, wherein the 1 first computational cost represents the computational resources of using the first input in the algorithm; defining a second set of inputs based on the determined relevance score of the first input; and applying the algorithm to the second set of inputs.

    AUTONOMIC METHOD FOR MANAGING A COMPUTING SYSTEM

    公开(公告)号:US20180343171A1

    公开(公告)日:2018-11-29

    申请号:US15776918

    申请日:2016-12-09

    Abstract: This invention provides an autonomic method for controlling an algorithm on a multi-terminal computing system, wherein the algorithm is configured to analyse diagnostic data for each terminal and an outcome of the analysis is a first action or a second action, and a device for implementing the method, the method comprising the steps of: receiving a first set of data for the multi-terminal computing system; applying the algorithm to the first set of data to classify each terminal in the multi-terminal computing system as being associated with either a first action or second action; re-classifying a first subset of terminals classified as being associated with the first action as being associated with the second action; and applying the first actions, second actions, and reclassified second actions respectively to each terminal in the multi-terminal computing system.

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