-
公开(公告)号：US20240330413A1
公开(公告)日：2024-10-03
申请号：US18192130
申请日：2023-03-29
发明人： Mohammed Hamzeh , David C. White, JR. , Christopher Shaun Roberts , Magnus Mortensen , Kevin D. McCabe , Felipe De Mello , Deon Anthony Pillsbury
IPC分类号： G06F18/2415 , G06N20/00 , G10L15/02 , G10L15/06 , G10L15/197
CPC分类号： G06F18/2415 , G06N20/00 , G10L15/02 , G10L15/063 , G10L15/197
摘要： The techniques described herein relate to a method including: providing input to a plurality of prediction models; obtaining an initial prediction from each of the plurality of prediction models; providing the input to one or more weight models; obtaining from the one or more weight models a weight for each initial prediction, wherein the weight for each initial prediction is based upon the input and behavior of each of the plurality of prediction models; and determining an output prediction from the initial predictions and the weights.
-
公开(公告)号：US20210326412A1
公开(公告)日：2021-10-21
申请号：US16853040
申请日：2020-04-20
摘要： In one example, a server obtains a plurality of code modules configured to identify issues in one or more network devices of a target network. Based on the plurality of code modules, the server generates a fingerprinting process configured to produce a fingerprint that includes a plurality of key-value pairs. Each key of the plurality of key-value pairs is a unique key that corresponds to select data associated with raw data obtained from the one or more network devices. Each value of the plurality of key-value pairs represents information regarding the select data. Based further on the plurality of code modules, the server generates an analysis model that is uniquely compatible with the fingerprinting process. The analysis model is configured to identify the issues in the one or more network devices based on the key-value pairs.
-
公开(公告)号：US11816193B2
公开(公告)日：2023-11-14
申请号：US16853040
申请日：2020-04-20
IPC分类号： G06F21/12 , G06N20/00 , G06F21/14 , G06F21/54 , H04L9/40 , H04W12/02 , G06F21/55 , G06F21/62
CPC分类号： G06F21/125 , G06F21/14 , G06F21/54 , G06N20/00 , G06F21/55 , G06F21/6254 , H04L63/0421 , H04W12/02
摘要： In one example, a server obtains a plurality of code modules configured to identify issues in one or more network devices of a target network. Based on the plurality of code modules, the server generates a fingerprinting process configured to produce a fingerprint that includes a plurality of key-value pairs. Each key of the plurality of key-value pairs is a unique key that corresponds to select data associated with raw data obtained from the one or more network devices. Each value of the plurality of key-value pairs represents information regarding the select data. Based further on the plurality of code modules, the server generates an analysis model that is uniquely compatible with the fingerprinting process. The analysis model is configured to identify the issues in the one or more network devices based on the key-value pairs.
-
公开(公告)号：US11121952B2
公开(公告)日：2021-09-14
申请号：US16162549
申请日：2018-10-17
摘要： In one embodiment, a device health assessment service extracts device health status indicators from health assessment data that the service uses to determine a device health status of a networking device. The service forms, using the extracted set of device health status indicators, a health status signature for a particular device health status. The service trains a machine learning-based model to classify whether a networking device has the particular device health status, based in part on the health status signature. The service deploys the machine learning-based model to a target network for local device health assessment of one or more networking devices in the target network.
-
-
-
搜索结果
4 条记录 (耗时 0.013 秒)
