AUTOMATED SYSTEM FOR GENERATIVE MULTIMODEL MULTICLASS CLASSIFICATION AND SIMILARITY ANALYSIS USING MACHINE LEARNING
    1.
    发明申请
    AUTOMATED SYSTEM FOR GENERATIVE MULTIMODEL MULTICLASS CLASSIFICATION AND SIMILARITY ANALYSIS USING MACHINE LEARNING 审中-公开
    用于生成多模式多分类的自动化系统使用机器学习进行分类和相似性分析

    公开(公告)号:WO2014210050A1

    公开(公告)日:2014-12-31

    申请号:PCT/US2014/043934

    申请日:2014-06-24

    Applicant: CYLANCE INC.

    CPC classification number: G06N99/005 G06F9/5038 G06F2209/5011 G06N5/02

    Abstract: A sample of data is placed within a directed graph that comprises a plurality of hierarchical nodes that form a queue of work items for a particular worker class that are used to process the sample of data. Subsequently, work items are scheduled within the queue for each of a plurality of workers by traversing the nodes of the directed graph. The work items are then served to the workers according to the queue. Results can later be received from the workers for the work items (the nodes of the directed graph are traversed based on the received results). In addition, in some variations, the results can be classified so that one or models can be generated. Related systems, methods, and computer program products are also described.

    Abstract translation: 数据样本被放置在有向图中,该有向图包括形成用于处理数据样本的特定工人类的工作项队列的多个分层节点。 随后,通过遍历有向图的节点,在多个工作者中的每一个的队列内调度工作项。 然后将工作项目按照队列送达工作人员。 以后可以从工作人员收到工作项目的结果(有向图的节点根据收到的结果进行遍历)。 另外,在一些变型中,可以对结果进行分类,以便生成一个或多个模型。 还描述了相关系统,方法和计算机程序产品。

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