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    DOMAIN ADAPTATION
    32.
    发明公开
    DOMAIN ADAPTATION 审中-公开

    公开(公告)号：US20230169389A1

    公开(公告)日：2023-06-01

    申请号：US17456898

    申请日：2021-11-30

    Applicant: International Business Machines Corporation

    Inventor： Yuan Zhou ,  Yi Qin Yu

    IPC: G06N20/00 ,  G06K9/62

    CPC classification number: G06N20/00 ,  G06K9/6202 ,  G06K9/6256 ,  G06K9/628

    Abstract: A computer implement method for domain adaptation. According to the method, training data from a target domain may be classified by using a group of source models of a source domain, where each of the source models is trained to classify data from the source domain. A first pseudo label indicating a category of the training data may be generated by aggregating classification results of the source models based on respective weights of the source models on predetermined data categories. A target model of the target domain may be trained based on the training data and the first pseudo label and the second pseudo label, where the target model is trained to classify data from the target domain.

    Enhanced search construction and deployment
    34.
    发明授权
    Enhanced search construction and deployment 有权

    公开(公告)号：US11120014B2

    公开(公告)日：2021-09-14

    申请号：US16199023

    申请日：2018-11-23

    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

    Inventor： Yi Qin Yu ,  En Liang Xu ,  Shi Lei Zhang ,  Bibo Hao ,  Eryu Xia

    IPC: G06F16/242 ,  G06F16/28 ,  G06F16/901 ,  G06F16/2457

    Abstract: A computer-implemented method, system, and computer program product are provided for enhanced search strategies. The method includes selecting, by a processor device, known candidate sources related to a search topic. The method also includes ranking, by the processor device, keyphrase candidates from the known candidate sources according to inter-topic weighting. The method additionally includes assembling, by the processor device, a search string of a predetermined number of top ranked keyphrase candidates. The method further includes generating, by the processor device, new candidate sources from a candidate source repository responsive to the search string. The method also includes defining, by the processor device, a candidate source pool by the known candidate sources and the new candidate sources to reduce user search times on computer interface devices.

    DECENTRALIZED PRIVACY-PRESERVING CLINICAL DATA EVALUATION
    35.
    发明申请
    DECENTRALIZED PRIVACY-PRESERVING CLINICAL DATA EVALUATION 审中-公开

    公开(公告)号：US20200210621A1

    公开(公告)日：2020-07-02

    申请号：US16238216

    申请日：2019-01-02

    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

    Inventor： Sui Jun Tong ,  Wen Sun ,  Yi Qin Yu ,  Eryu Xia ,  Yong Qin

    IPC: G06F21/62 ,  G06F21/60 ,  G06F16/28 ,  G06N20/00

    Abstract: A system for decentralized privacy-preserving clinical data evaluation includes a plurality of sites of a decentralized private network, a memory device for storing program code, and at least one processor device operatively coupled to the memory device and configured to execute program code stored on the memory device to, for each of the local datasets, evaluate the local dataset using each of the local models to obtain one or more features related to a degree of outlierness, determine at least one outlier dataset based on the one or more features, and implement one or more actions based on the determination.

    DETECTING DEVIATIONS BETWEEN EVENT LOG AND PROCESS MODEL
    38.
    发明申请
    DETECTING DEVIATIONS BETWEEN EVENT LOG AND PROCESS MODEL 审中-公开

    公开(公告)号：US20190392335A1

    公开(公告)日：2019-12-26

    申请号：US16563076

    申请日：2019-09-06

    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

    Inventor： JING LI ,  Xiang Li ,  Haifeng Liu ,  Guo Tong Xie ,  Yi Qin Yu ,  Shi Lei Zhang

    IPC: G06N7/00

    Abstract: A method for detecting deviations between an event log and a process model includes converting the process model into a probability process model, the probability process model comprising multiple nodes in multiple hierarchies and probability distribution associated with the multiple nodes, a leaf node among the multiple nodes corresponding to an activity in the process model; detecting differences between at least one event sequence contained in the event log and the probability process model according to a correspondence relationship; and identifying the differences as the deviations in response to the differences exceeding a predefined threshold; wherein the correspondence relationship describes a correspondence relationship between an event in one event sequence of the at least one event sequence and a leaf node in the probability process model.

    Detecting deviations between event log and process model
    39.
    发明授权
    Detecting deviations between event log and process model 有权

    公开(公告)号：US10467539B2

    公开(公告)日：2019-11-05

    申请号：US14748837

    申请日：2015-06-24

    Applicant: International Business Machines Corporation

    Inventor： Jing Li ,  Xiang Li ,  Haifeng Liu ,  Guo Tong Xie ,  Yi Qin Yu ,  Shi Lei Zhang

    IPC: G06N7/00

    Abstract: A method for detecting deviations between an event log and a process model includes converting the process model into a probability process model, the probability process model comprising multiple nodes in multiple hierarchies and probability distribution associated with the multiple nodes, a leaf node among the multiple nodes corresponding to an activity in the process model; detecting differences between at least one event sequence contained in the event log and the probability process model according to a correspondence relationship; and identifying the differences as the deviations in response to the differences exceeding a predefined threshold; wherein the correspondence relationship describes a correspondence relationship between an event in one event sequence of the at least one event sequence and a leaf node in the probability process model.

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