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公开(公告)号：WO2023087969A1
公开(公告)日：2023-05-25
申请号：PCT/CN2022/124112
申请日：2022-10-09
Applicant: 北京字节跳动网络技术有限公司
Abstract: 一种发言用户选定方法和装置、电子设备、存储介质、计算机程序产品以及计算机程序，该方法通过接收第一终端设备发送的第一请求，第一请求用于确定用户群组内的发言用户，其中，用户群组内包括至少两个待选用户，每一待选用户对应一个第二终端设备；确定第一请求对应的随机选择模型，随机选择模型用于表征从用户群组内随机确定发言用户的策略；根据随机选择模型，从至少两个待选用户中确定发言用户，并将发言用户的识别信息发送至第一终端设备和第二终端设备。在该过程中，无需管理员进行手动选择发言用户，进而在具体的社交活动的场景中，可以提高基于多人聊天群的社交活动实施过程的流畅性及趣味性，并扩展社交活动实现方式的灵活性和多样性。
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2.发明申请
公开(公告)号：WO2023083485A1
公开(公告)日：2023-05-19
申请号：PCT/EP2021/085950
申请日：2021-12-15
Applicant: NEC LABORATORIES EUROPE GMBH
Inventor： SHAKER, Ammar , KOTNIS, Bhushan
Abstract: An efficient method for operating a patient survival assessment system by means of a data processing system is developed, comprising the following steps: collecting health data from a patient suffering from a disease; collecting patient's historical data for at least one disease; and performing a survivability analysis of the patient comprising transfer learning considering the health data and/or the historical data and using conditional von Neumann loss. Further, a corresponding data processing system is provided comprising: collecting means for collecting health data from a patient suffering from a disease; collecting means for collecting patient's historical data for at least one disease; and performing means for performing a survivability analysis of the patient comprising transfer learning considering the health data and/or the historical data and using conditional von Neumann loss.
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公开(公告)号：WO2023072574A1
公开(公告)日：2023-05-04
申请号：PCT/EP2022/078159
申请日：2022-10-10
Inventor： EGGENBERGER, Christian , FLÖTHER, Frederik , LUSTENBERGER, Patrick , YADAV, Saurabh
Abstract: A method for enabling a transformation system, comprising a transformation model built for a first setting using first input values, to incorporate second feature values present in a second setting is disclosed. The method comprises providing training input data comprising second feature values as well as expected second results, providing a feature mapper comprising a machine-learning model, wherein output signals of the feature mapper are used as input signals for the transformation system, thereby building a combination of the feature mapper and the transformation model, training of the machine-learning model of the feature mapper using the training input data as input for the feature mapper and using the second results as expected output data of the transformation system, and deploying the combination of the feature mapper and the transformation system as a super machine-learning system comprising a super machine-learning model usable in the second setting.
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公开(公告)号：WO2023059315A1
公开(公告)日：2023-04-13
申请号：PCT/US2021/053569
申请日：2021-10-05
Applicant: GOOGLE LLC
Inventor： DAI, Bo , DAI, Hanjun , XUE, Yuan , SYED, Zia , SCHUURMANS, Dale Eric
IPC: G06N3/00 , G06N3/08 , G06N5/00 , G06N7/00 , G06N3/04 , G06Q10/08 , G06N3/006 , G06N3/045 , G06N3/084 , G06N5/01 , G06N7/01 , G06Q10/0631 , G06Q10/087 , G06Q40/06 , G06Q50/06
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing stochastic optimization using machine learning. One of the methods includes obtaining data defining a multi-stage stochastic optimization (MSSO) problem instance, the data characterizing an observation distribution, an action space, and a cost function; generating a neural network input characterizing the MSSO problem instance from the data; providing the neural network input as input to a neural network that generates, from the network input, a neural network output characterizing parameters of a value function corresponding to the MSSO problem instance; processing the neural network input using the neural network to generate the neural network output; obtaining a new observation determined according to the observation distribution for the MSSO problem instance; determining, using the value function characterized by the network output, an optimal action to take in response to the new observation; and executing the optimal action.
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公开(公告)号：WO2023057798A1
公开(公告)日：2023-04-13
申请号：PCT/IB2021/059223
申请日：2021-10-07
Applicant: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
Inventor： CHALAPATHY, Prasanna , MURUGANANDAM, Ashwin Kumar , JOSHI, Anila
Abstract: A method and system for generating a prediction in a low resource device using a decision tree based machine learning model includes receiving input for a prediction request, selecting a first tree from the machine learning model, selecting and loading a first node from the first tree into working memory, accumulating a result from the first node, releasing the first node from working memory, and selecting and loading a second node from the first tree into working memory.
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Patent Agency Ranking
公开(公告)号：WO2023057321A1
公开(公告)日：2023-04-13
申请号：PCT/EP2022/077226
申请日：2022-09-29
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： MAVROEIDIS, Dimitrios , VDOVJAK, Richard , SAALBACH, Axel , LENGA, Matthias
IPC: G06N3/08 , G06N3/04 , G06N5/00 , G06N7/00 , G06N20/10 , G06N20/20 , G16H30/40 , G16H50/70 , G06N3/045 , G06N5/01 , G06N7/01
Abstract: A system (SYS)and related method for providing training data. The system is configured to receive a classification result for a class from plural pre-defined classes (Cj). The classification result is produced by a trained machine learning model (M) in response to processing an input image. A decision logic (DL) of the system is configured to analyze input data (pi,qi) comprising the received classification result value (pi) and an uncertainty value (qi) associated with the classification result value. The system outputs, per class, an associated indication whether the input image is or is not useful for re-training the model (M) in respect of the said class.
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公开(公告)号：WO2023038868A1
公开(公告)日：2023-03-16
申请号：PCT/US2022/042555
申请日：2022-09-02
Applicant: ALLSTATE INSURANCE COMPANY
Inventor： SHEPAL, Chinmayee
Abstract: Embodiments include implementing an iterative process to automatically develop a chatbot conversation for a conversation designer by receiving a conversation design input of one or more conversation design inputs from the conversation designer, identifying an intent based on the conversation design input, generating a development event based on the intent, retrieving a conversation chat flow from a set of conversation chat flows of a code sheet based on the development event, the code sheet comprising a set of conversations, the set of conversation chat flows, and a set of rules for code retrieval based on the set of conversations and the set of conversation chat flows, retrieving a chatbot computer program code based on the conversation chat flow and the set of rules from the code sheet, and repeating the iterative process until the chatbot computer program code is automatically retrieved from a code repository for each conversation design input.
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公开(公告)号：WO2023003499A1
公开(公告)日：2023-01-26
申请号：PCT/SE2021/050748
申请日：2021-07-23
Applicant: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
Inventor： VANNELLA, Filippo , JEONG, Jaeseong , PROUTIERE, Alexandre , JEDRA, Yassir
Abstract: A computer implemented method (100) is disclosed for determining a target policy for managing an environment that is operable to perform a task. The method comprises obtaining a training dataset comprising records of task performance by the environment during a period of management according to a reference policy (110), and repeating, at a plurality of time steps until a stopping condition is satisfied, the steps of selecting a record of task performance from the training data set (130), using the selected record to update an initiated estimate of a linear function mapping an observed environment context and selected action to a predicted value of reward (140), and checking whether the stopping condition has been satisfied (150). The method further comprises outputting as the target policy a function operable to select for execution in the environment an action which, for a given context, is mapped by the estimate of the linear function at the time the stopping condition is satisfied to the maximum predicted value of reward (170).
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公开(公告)号：WO2023278806A1
公开(公告)日：2023-01-05
申请号：PCT/US2022/035875
申请日：2022-06-30
Applicant: OPENDORSE, INC.
Inventor： LAWRENCE, Blake , GIFFIN, Abbie , HAUPT, Brant
IPC: G06F21/10 , G06N20/00 , G06Q20/12 , G06Q30/02 , G06Q30/06 , G06Q50/18 , G06N3/02 , G06N5/00 , G06N5/02 , G06N5/04 , G06Q20/32 , G06Q30/08 , G06Q40/04 , G06Q30/0247 , G06Q30/0273 , G06Q50/01
Abstract: A method is disclosed. The method may include receiving real market data from a database; receiving user input data from a user device; retrieving a real-time current follower count for a user; determining at least one of an activity price per follower or an adjusted price per follower based on the retrieved real-time current follower count; generating an adjusted dataset by adjusting the filtered received real market data based on the determined at least one the price per follower or the adjusted price per follower; generating one or more match level tables by reducing the adjusted dataset based on one or more predetermined thresholds; generating a final dataset based on the generated one or more match level tables; and determining a suggested activity price for the user based on the generated final dataset.
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公开(公告)号：WO2022255807A1
公开(公告)日：2022-12-08
申请号：PCT/KR2022/007811
申请日：2022-06-02
Applicant: 호서대학교 산학협력단 , 주식회사 리빈에이아이
IPC: G06F16/2457 , G06F16/33 , G06F16/332 , G06F16/2453 , G06N20/20 , G06F16/93 , G06N5/00
Abstract: 문서를 더 작은 크기로 나누어 패시지를 생성한 후 이를 검색단위로 하는 경우 향상된 검색결과를 제공하는 방법이 개시된다. 첫번째 양태에 따르면, 제1 검색모델에 의한 패시지의 정렬 결과와 제2 검색모델에 의한 패시지의 정렬 결과를 통합하여 새로운 순위가 생성되고, 이 순위에 대응되도록 문서가 정렬된다. 또한, 동일한 문서로부터 추출된 패시지의 수 및 해당 문서의 전체 패시지 수 사이의 관계에 기초하여 문서가 정렬된다. 문서에 대한 두 정렬결과를 통합하여 최종 순위가 결정된다. 다른 양태에 따르면, 패시지단위 검색모듈의 검색결과는 순위결합되어 대응되는 문서의 순위로 변경된다. 또한, 동일한 문서로부터 추출된 패시지의 수 및 해당 문서의 전체 패시지 수 사이의 관계에 기초하여 문서가 정렬된다. 위 두 정렬 결과와 문서단위 검색모듈의 검색결과를 통합하여 최종 검색결과가 제공된다. 본 방법에 따르면, 패시지단위로 검색하는 경우에도 문서 전체로 보아 관련성이 높은 검색결과를 생성하며, 문서단위 또는 패시지단위 만으로 검색결과를 제공하는 것에 비하여 향상된 검색결과를 제공한다.
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