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公开(公告)号:US11941493B2
公开(公告)日:2024-03-26
申请号:US16287224
申请日:2019-02-27
摘要: A method optimizes a training of a machine learning system. A conflict detection system discovers a conflict between a first training data and a second training data for a machine learning system, where the first training data and the second training data are ground truths that describe a same type of entity, and where the first training data and the second training data have different labels. In response to discovering the conflict between the first training data and the second training data for the machine learning system, an oracle adjusts the different labels of the first training data and the second training data. The machine learning system is then trained using the first training data and the second training data with the adjusted labels.
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2.
公开(公告)号:US20240095146A1
公开(公告)日:2024-03-21
申请号:US18522122
申请日:2023-11-28
申请人: ReverseAds Pte. Ltd.
发明人: Michael Richard Hahn
IPC分类号: G06F11/34 , G06F9/54 , G06F11/32 , G06F18/214 , G06N7/01
CPC分类号: G06F11/3452 , G06F9/542 , G06F11/324 , G06F11/3409 , G06F18/214 , G06N7/01 , G06F2201/86
摘要: Systems, methods, and devices identify devices and assign keywords to such devices. Methods include retrieving data from at least one data source, the data comprising a plurality of data events associated with a plurality of devices, and generating a plurality of probability metrics for each of the plurality of devices based on device information and data event parameters included in the retrieved data. Methods also include generating an activity estimation parameter for each of the plurality of devices based on the plurality of probability metrics, the activity estimation parameter comprising an estimated probability of a subsequent data event being taken by a device.
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公开(公告)号:US11935321B2
公开(公告)日:2024-03-19
申请号:US17172429
申请日:2021-02-10
发明人: Sungun Park , Kyuhong Kim
IPC分类号: G06V40/12 , G06F18/214 , G06F18/22 , G06F21/32 , G06N3/04 , G06N7/01 , G06V10/762 , G06V10/764
CPC分类号: G06V40/1388 , G06F18/214 , G06F18/22 , G06F21/32 , G06N3/04 , G06N7/01 , G06V10/763 , G06V10/764 , G06V40/1347 , G06V40/1365 , G06V40/1382
摘要: A processor-implemented anti-spoofing method includes: extracting an input embedding vector from input biometric information; obtaining a fake embedding vector of a predetermined fake model based on fake biometric information; obtaining either one or both of a real embedding vector of a predetermined real model and an enrolled embedding vector of an enrollment model the enrollment model being generated based on biometric information of an enrolled user; determining a confidence value of the input embedding vector based on the fake embedding vector and either one or both of the real embedding vector and the enrolled embedding vector; and determining whether the input biometric information is forged, based on the confidence value.
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公开(公告)号:US11935078B2
公开(公告)日:2024-03-19
申请号:US17405794
申请日:2021-08-18
发明人: Micah Price , Qiaochu Tang , Geoffrey Dagley , Avid Ghamsari
IPC分类号: G06Q30/0202 , G06N5/025 , G06N7/01 , G06N20/00 , G06F18/214
CPC分类号: G06Q30/0202 , G06N5/025 , G06N7/01 , G06N20/00 , G06F18/214
摘要: Aspects described herein may provide an interface and/or search functionality for a dealership to determine vehicles a customer is most likely to purchase. A recommender system may generate vehicle recommendations for a dealership to sell to a customer based on customer information, vehicle information, and dealership information. Machine learning may be used to generate the recommendations. The recommendations may be based on the vehicle preferences of a customer.
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5.
公开(公告)号:US11934783B2
公开(公告)日:2024-03-19
申请号:US18295735
申请日:2023-04-04
申请人: Recruit Co., Ltd.
发明人: Yoshihiko Suhara , Behzad Golshan , Yuliang Li , Chen Chen , Xiaolan Wang , Jinfeng Li , Wang-Chiew Tan , çagatay Demiralp , Aaron Traylor
IPC分类号: G06F40/284 , G06F16/35 , G06F18/211 , G06N7/01
CPC分类号: G06F40/284 , G06F16/35 , G06F18/211 , G06N7/01
摘要: Disclosed embodiments relate to natural language processing. Techniques can include receiving input text, extracting, from the input text, at least one modifier and aspect pair, receiving data from a knowledgebase, based on the at least one modifier and aspect pair and commonsense data, generate one or more premise embeddings, convert the input text into tokens, generating at least one vector for one or more of the tokens based on an analysis of the tokens, combine the at least one vector with the one or more premise embeddings to create at least one combined vector, and analyze the at least one combined vector wherein the analysis generates an output indicative of a feature of the input text.
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公开(公告)号:US11928620B2
公开(公告)日:2024-03-12
申请号:US17569779
申请日:2022-01-06
申请人: Clari Inc.
发明人: Xin Xu , Chunyue Du , Xincheng Ma , Kaiyue Wu , Venkat Rangan
IPC分类号: G06Q10/0631 , G06F9/48 , G06F16/903 , G06Q10/0633 , G06Q10/0637 , G06Q10/0639 , G06N7/01
CPC分类号: G06Q10/063112 , G06F9/485 , G06F16/903 , G06Q10/063118 , G06Q10/0633 , G06Q10/0637 , G06Q10/06375 , G06Q10/0639 , G06N7/01
摘要: In an embodiment, described herein is a system and method for creating a suggested task set to meet a target value. A cloud server, in response to receiving a request specifying a target value, retrieves completed task sets from a database. Each completed task set includes a same set of task categories. The cloud server derives a number of ratios from the retrieved completed task sets, including a composition ratio and a conversion rate for each task category, and an addition ratio for the number of completed task sets. Based on the derived ratios and the specified target value, the cloud server constructs the suggested task set, and displays in real-time the suggested task set together with current values for the task categories. The cloud server alerts users of a discrepancy between a current value and the corresponding suggested value for a task category when the discrepancy reaches a predetermined level.
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公开(公告)号:US11928591B2
公开(公告)日:2024-03-12
申请号:US17181435
申请日:2021-02-22
申请人: Hitachi, Ltd.
发明人: Kanako Esaki , Tadayuki Matsumura , Hiroyuki Mizuno , Kiyoto Ito
IPC分类号: G06N3/08 , G06F18/20 , G06F18/2413 , G06F18/2415 , G06N7/01 , G06N20/00 , G06V10/82 , G06V30/10 , G06V30/18 , G06V30/19
CPC分类号: G06N3/08 , G06F18/2413 , G06F18/2415 , G06F18/285 , G06N7/01 , G06N20/00 , G06V10/82 , G06V30/18057 , G06V30/19173 , G06V30/10
摘要: An information processing apparatus and an information processing method capable of accurately recognizing an object to be sensed are provided.
One or a plurality of learning models are selected from among learning models corresponding to a plurality of categories, a priority of each of the selected learning models is set, observation data obtained by sequentially compounding pieces of sensor data applied from a sensor is analyzed using the learning model and the priority of the learning model, a setting of sensing at a next cycle is selected based on an analysis result, predetermined control processing is executed in such a manner that the sensor performs sensing at the selected setting of sensing, and the learning model corresponding to the category estimated as the category to which a current object to be sensed belongs with a highest probability is selected based on the categories to each of which the previously recognized object to be sensed belongs.-
公开(公告)号:US11927926B2
公开(公告)日:2024-03-12
申请号:US17437221
申请日:2019-09-11
发明人: Brian E. Brooks , Gilles J. Benoit , Peter O. Olson , Tyler W. Olson , Himanshu Nayar , Frederick J. Arsenault , Nicholas A. Johnson
IPC分类号: G05B13/04 , B60W40/064 , B60W40/08 , B60W40/105 , G05B13/02 , G05B19/4065 , G05B19/418 , G05B23/02 , G06F18/21 , G06N5/043 , G06N5/046 , G06N7/01 , G06Q10/0631 , G06Q10/0639 , G06Q30/0202 , G06Q10/087
CPC分类号: G05B13/042 , B60W40/064 , B60W40/08 , B60W40/105 , G05B13/021 , G05B13/024 , G05B13/0265 , G05B13/041 , G05B19/4065 , G05B19/41835 , G05B23/0229 , G06F18/2193 , G06N5/043 , G06N5/046 , G06N7/01 , G06Q10/06315 , G06Q10/06395 , G06Q30/0202 , G05B2219/36301 , G06Q10/087
摘要: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining causal models for controlling environments. One of the methods includes repeatedly selecting control settings for the environment based on (i) a causal model that identifies causal relationships between possible settings for controllable elements in the environment and environment responses that reflect a performance of the control system in controlling the environment and (ii) current values of a set of internal parameters; and during the repeatedly selecting: monitoring environment responses to the selected control settings; determining, based on the environment responses, an indication that one or more properties of the environment have changed; and in response, modifying the current values of one or more of the internal parameters.
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公开(公告)号:US11925445B2
公开(公告)日:2024-03-12
申请号:US17653377
申请日:2022-03-03
申请人: Masimo Corporation
发明人: Marcelo Lamego , Massi Joe E. Kiani , Ken Lam , Cristiano Dalvi , Hung The Vo
IPC分类号: A61B5/022 , A61B5/00 , A61B5/0205 , A61B5/021 , A61B5/0225 , A61B5/0235 , A61B17/135 , G06N7/01 , G16H40/63 , A61B5/22
CPC分类号: A61B5/02233 , A61B5/002 , A61B5/0022 , A61B5/02225 , A61B5/0225 , A61B5/0235 , A61B5/7225 , A61B5/742 , G06N7/01 , G16H40/63 , A61B5/0002 , A61B5/0205 , A61B5/021 , A61B5/02141 , A61B5/022 , A61B5/222 , A61B5/7221 , A61B5/725 , A61B17/135 , A61B2560/0214
摘要: A method of determining blood pressure measurements includes inflating a cuff, receiving an indication of pressure inside the cuff during inflation, determining a blood pressure based at least in part on the received indication, assigning a confidence level to the blood pressure, and determining whether the confidence level satisfies a threshold confidence level. Based at least on a determination that the confidence level satisfies a threshold confidence level, the method can include causing a display to display the blood pressure. Based at least on a determination that the confidence level does not satisfy a threshold confidence level, the method can include deflating the cuff, receiving an indication of pressure inside the cuff during deflation, determining another blood pressure, and causing a display to display a blood pressure.
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10.
公开(公告)号:US11921169B2
公开(公告)日:2024-03-05
申请号:US17496779
申请日:2021-10-08
申请人: WUHAN UNIVERSITY
发明人: Yigang He , Jiajun Duan , Xiaoxin Wu , Liulu He
摘要: A transformer fault diagnosis method and system using induced ordered weighted evidence reasoning is provided. The method includes the following steps. A typical data sample of transformer sweep frequency response analysis is loaded and a diagnostic label is set as an identification framework. Test data of a device to be diagnosed is loaded. Basic probability assignment is calculated and a reliability decision matrix is constructed. An induced ordered weighted averaging operator and its induction vector are calculated according to a sample source of the data. An index weight vector is calculated. All evidence is fused by the induced ordered weighted evidence theory and reliability of comprehensive evaluation is calculated, so as to determine a diagnosis result. The disclosure realizes fault identification, fault type distinction and fault position of power equipment by interpreting detection waveforms.
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