SAMPLING VARIABLES FROM PROBABILISTIC MODELS
    1.
    发明申请
    SAMPLING VARIABLES FROM PROBABILISTIC MODELS 审中-公开
    从概念模型中抽取变量

    公开(公告)号:US20170017892A1

    公开(公告)日:2017-01-19

    申请号:US15154113

    申请日:2014-10-15

    CPC classification number: G06N7/005 G06F17/18

    Abstract: The disclosed apparatus and methods include a reconfigurable sampling accelerator and a method of using the reconfigurable sampling accelerator, respectively. The reconfigurable sampling accelerator can be adapted to a variety of target applications. The reconfigurable sampling accelerator can include a sampling module, a memory system, and a controller that is configured to coordinate operations in the sampling module and the memory system. The sampling module can include a plurality of sampling units, and the plurality of sampling units can be configured to generate samples in parallel. The sampling module can leverage inherent characteristics of a probabilistic model to generate samples in parallel.

    Abstract translation: 所公开的装置和方法分别包括可重构采样加速器和使用可重构采样加速器的方法。 可重构采样加速器可适用于各种目标应用。 可重构采样加速器可以包括采样模块,存储器系统和被配置为协调采样模块和存储器系统中的操作的控制器。 采样模块可以包括多个采样单元,并且多个采样单元可被配置为并行地产生采样。 抽样模块可以利用概率模型的固有特征来并行生成样本。

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