ERRONEOUS DATA IN LEARNING AND INFERENCE OF COGNITIVE FUNCTIONS

    公开(公告)号:US20240297820A1

    公开(公告)日:2024-09-05

    申请号:US18572816

    申请日:2021-06-28

    CPC classification number: H04L41/0823 H04L41/0816 H04L41/0886

    Abstract: It is provided a method comprising: receiving one or more received data sets, wherein each of the received data sets comprises data each representing a value of a respective status parameter of a system, and at least one of the data sets comprises a respective value quality score representing a quality of the value of the respective status parameter: calculating, by a cognitive function, an optimal configuration range set and a confidence score of the optimal configuration range set based on the one or more received data sets; providing the calculated optimal configuration range set and the confidence score to a controller.

    PROVIDING CONFIDENCE THRESHOLDS IN AN ANALYTICS REQUEST OR SUBSCRIPTION

    公开(公告)号:US20240214293A1

    公开(公告)日:2024-06-27

    申请号:US18273822

    申请日:2021-02-15

    CPC classification number: H04L43/16 H04L41/5019

    Abstract: Certain example embodiments provide systems, methods, apparatuses, and computer program products for providing confidence thresholds in an analytics request or subscription. For example, certain embodiments may include a confidence threshold for each reporting threshold (e.g., quality of service (QoS) metric-specific reporting threshold) in an analytics request or subscription (e.g., a network data analytics function (NWDAF) QoS sustainability analytics request or subscription). The confidence threshold (lower bound) can be determined by the consumer application based on their individual needs, e.g., based on the cost or impact of the compensating actions on the predicted QoS sustainability notification. The confidence threshold, in combination with the reporting threshold, may define the conditions for analytics events and/or notifications (e.g., QOS sustainability prediction analytics events and the related notifications).

Patent Agency Ranking