MINING NON-LINEAR DEPENDENCIES VIA A NEIGHBORHOOD MIXTURE MODEL

    公开(公告)号:US20180075370A1

    公开(公告)日:2018-03-15

    申请号:US15635995

    申请日:2017-06-28

    CPC classification number: G06N20/00 G06N5/003 G06N7/005

    Abstract: A computer-implemented method for simultaneous metric learning and variable selection in non-linear regression is presented. The computer-implemented method includes introducing a dataset and a target variable, creating a univariate neighborhood probability map for each reference point of the dataset, and determining a pairwise distance between each reference point and other points within the dataset. The computer-implemented method further includes computing a Hessian matrix of a quadratic programming (QP) problem, performing optimization of the QP problem, re-weighing data derived from the optimization of the QP problem, and performing non-linear regression on the re-weighed data.

    Security Monitoring with Progressive Behavioral Query Language Databases

    公开(公告)号:US20180060586A1

    公开(公告)日:2018-03-01

    申请号:US15684325

    申请日:2017-08-23

    Abstract: Automated security systems and methods include a set monitored systems, each having one or more corresponding monitors configured to record system state information. A progressive software behavioral query language (PROBEQL) database is configured to store the system state information from the monitored systems. A query optimizing module is configured to optimize a database query for parallel execution using spatial and temporal information relating to elements in the PROBEQL database. The optimized database query is split into sub-queries with sub-queries being divided spatially according to host and temporally according to time window. A parallel execution module is configured to execute the sub-queries on the PROBEQL database in parallel. A results module is configured to output progressive results of the database query. A security control system is configured to perform a security control action in accordance with the progressive results.

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