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公开(公告)号：US20210056451A1
公开(公告)日：2021-02-25
申请号：US16543754
申请日：2019-08-19
发明人： Si Er Han , Song Bo , Peng Fei Chang , Jun Wang
摘要： This disclosure provides a solution for processing outliers in a time series. In the method, a time series model is obtained based on a first set of observed values. Outliers are identified from the first set of observed values based on the differences between the first set of observed values and a first set of predicted values. The first set of predicted values is obtained from the first set of observed values by using the time series model. A model evaluation measure representing differences between a second set of observed values and a second set of predicted values is calculated. The second set of predicted values is obtained from the second set of observed values by using the time series model. And replacement values for the outliers are determined in response to the model evaluation measure not meeting a predefined criterion.
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公开(公告)号：US11537598B1
公开(公告)日：2022-12-27
申请号：US17400159
申请日：2021-08-12
发明人： Dong Hai Yu , Song Bo , Jun Wang , Jiang Bo Kang , Yao Dong Liu
摘要： A method for instantiating a first specific model, as one record, based on a model scoring template, clustering a plurality of models into a plurality of groups to obtain a plurality of clusters, computing a model contribution weight value for the given cluster, choosing a set of top model(s) from the plurality of models, and updating the model(s) of the set of top model(s) dynamically.
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公开(公告)号：US20230138987A1
公开(公告)日：2023-05-04
申请号：US17453565
申请日：2021-11-04
发明人： Song Bo , Dong Hai Yu , Jun Wang , Jiang Bo Kang , Yao Dong Liu
摘要： One or more computer processors calculate a cache prediction for a received inference request within an inference cache structured as a self-learning tree, wherein the inference request comprises a set of input values. The one or more computer processors responsive to the retrieved cache prediction exceeding a cache prediction threshold, transmit the cache prediction. The one or more computer processors parallel compute a model prediction for the received inference request utilizing a trained model. The one or more computer processors responsive to the retrieved model prediction exceeding a model prediction threshold, convert the trained model into a tree structure. The one or more computer processors update the inference cache with the converted train model. The one or more computer processors transmit the model prediction.
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公开(公告)号：US20230097330A1
公开(公告)日：2023-03-30
申请号：US17483714
申请日：2021-09-23
发明人： Jun Wang , Xue Ying Zhang , Song Bo , Dong Hai Yu , Jing James Xu
IPC分类号： G06F16/957 , G06F16/9535 , G06F16/955 , H04L29/08
摘要： In an approach for detecting web browsing subject-oriented event interactions and intelligently organizing web pages based on insights from important interactions for better exploration and efficient management, a processor extracts time series data associated with a plurality of web browsing events based on browsing historical actions of a user. A processor identifies the subject of each web browsing event. A processor determines major events based on the time series data and subjects of the plurality of web browsing events. A processor organizes the plurality of web browsing events based on subject hierarchy and timeline from the time series data. A processor highlights one or more uniform resource locators based on the subject hierarchy and timeline.
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公开(公告)号：US20230010147A1
公开(公告)日：2023-01-12
申请号：US17371508
申请日：2021-07-09
发明人： Yao Dong Liu , Jiang Bo Kang , Jun Wang , Dong Hai Yu , Song Bo
摘要： Systems and computer-implemented methods select a subset of methods to generate data schemas for input data from a list of methods for generating data schemas, based on output of a regression model; generate a candidate schema for each method in the subset of methods to generate data schemas; and generate a master data schema for the input data by merging the candidate schema for each method in the subset of methods to generate data schemas, utilizing predetermined rules.
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公开(公告)号：US11823077B2
公开(公告)日：2023-11-21
申请号：US16992856
申请日：2020-08-13
发明人： Dong Hai Yu , Jun Wang , Jing Xu , Ji Hui Yang , Xiao Ming Ma , Song Bo
CPC分类号： G06N5/04 , G06F16/285 , G06N20/20
摘要： Provided are a computer-implemented method, a system, and a computer program product. The method comprises extracting features from a plurality of base models in an ensemble model. The plurality of base models are configured to provide respective prediction results. The ensemble model is configured to provide an overall prediction result from the prediction results of the plurality of base models. The features are associated with time performance of the base models. The method further comprises clustering the plurality of base models into a plurality of clusters based on the extracted features. The method further comprises assigning the plurality of base models to a plurality of parallel computation units based on the plurality of clusters.
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公开(公告)号：US11748436B2
公开(公告)日：2023-09-05
申请号：US17483714
申请日：2021-09-23
发明人： Jun Wang , Xue Ying Zhang , Song Bo , Dong Hai Yu , Jing James Xu
IPC分类号： G06F16/957 , G06F16/955 , G06F16/9535
CPC分类号： G06F16/9574 , G06F16/955 , G06F16/9535
摘要： In an approach for detecting web browsing subject-oriented event interactions and intelligently organizing web pages based on insights from important interactions for better exploration and efficient management, a processor extracts time series data associated with a plurality of web browsing events based on browsing historical actions of a user. A processor identifies the subject of each web browsing event. A processor determines major events based on the time series data and subjects of the plurality of web browsing events. A processor organizes the plurality of web browsing events based on subject hierarchy and timeline from the time series data. A processor highlights one or more uniform resource locators based on the subject hierarchy and timeline.
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