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公开(公告)号:US20140320893A1
公开(公告)日:2014-10-30
申请号:US13872245
申请日:2013-04-29
Applicant: Hewlett-Packard Development Company, L.P.
Inventor: Sagi Schein , Gideon Amir , Noam Shaham , Yuri Sapozhnikov , Hila Nachlieli
IPC: G06F3/12
CPC classification number: G06F3/1204 , G06F3/1275 , G06F3/1285 , G06Q10/06 , G06Q10/103
Abstract: According to one example, there is provided a method of determining a workflow in a production environment that comprises a plurality of production resources. The method comprises receiving a job request and determining, based on the contents of the job request and on a stored workflow history of job requests previously processed in the production environment, a predicted workflow to be used when processing the received job request.
Abstract translation: 根据一个示例,提供了一种在生产环境中确定包括多个生产资源的工作流的方法。 该方法包括接收作业请求,并且基于作业请求的内容以及在生产环境中先前处理的作业请求的存储的工作流历史来确定在处理接收的作业请求时要使用的预测工作流程。
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公开(公告)号:US20160188694A1
公开(公告)日:2016-06-30
申请号:US14907610
申请日:2013-07-31
Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
Inventor: David Lehavi , Sagi Schein , Amir Globerson , Shai Shalev-Shwartz , Roi Livni
IPC: G06F17/30
CPC classification number: G06F16/285 , G06F16/2365 , G06F16/278 , G06K9/6217 , G06K9/6218 , G06K9/6269 , G06K9/6287 , G06K2209/01
Abstract: A method, system and storage device are generally directed to determining for each of a plurality of data points, a neighborhood of data points about each such data point. For each such neighborhood of data points, a projection set of polynomials is generated based on candidate polynomials. The projection set of polynomials evaluated on the neighborhood of data points is subtracted from the plurality of candidate polynomials evaluated on the neighborhood of data points to generate a subtraction matrix of evaluated resulting polynomials. The singular value decomposition of the subtraction matrix is then computed. The resulting polynomials are clustered into multiple clusters and then partitioned based on a threshold.
Abstract translation: 一般来说,方法,系统和存储设备针对多个数据点中的每一个确定关于每个这样的数据点的数据点的邻域。 对于每个这样的数据点邻域,基于候选多项式生成多项式的投影集。 在数据点附近评估的多个候选多项式中减去在数据点附近评估的多项式的投影集,以生成评估结果多项式的减法矩阵。 然后计算减法矩阵的奇异值分解。 所得到的多项式被聚集成多个簇,然后基于阈值进行分区。
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公开(公告)号:US08760327B2
公开(公告)日:2014-06-24
申请号:US13660686
申请日:2012-10-25
Applicant: Hewlett-Packard Development Company, L.P.
Inventor: Sagi Schein , David Lehavi , Hila Nachlieli
IPC: H03M7/30
CPC classification number: H03M7/3059
Abstract: A method for compressing a plurality of coordinates includes obtaining a plurality of approximately-zero polynomials of dimension dim for a plurality of coordinate parameters. The method further includes selecting dim+1 non-approximately-zero polynomials, and providing a compressed data set that includes the approximately-zero polynomials, the dim+1 non-approximately-zero polynomials, and evaluations of the selected dim+1 non-approximately-zero polynomials based on the coordinates.
Abstract translation: 一种用于压缩多个坐标的方法包括获得多个坐标参数的多个大小为零的多项式的Dim值。 该方法还包括选择dim + 1非近似零多项式,以及提供包括近似零多项式的压缩数据集,dim + 1非近似零多项式以及所选择的dim + 1非零多项式的评估, 基于坐标的近零零多项式。
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