BINARY LINEAR CLASSIFICATION
    1.
    发明申请
    BINARY LINEAR CLASSIFICATION 审中-公开
    二元线性分类

    公开(公告)号:WO2017111835A1

    公开(公告)日:2017-06-29

    申请号:PCT/US2015/000393

    申请日:2015-12-26

    CPC classification number: G06K9/6277 H04L29/06

    Abstract: In an example, there is disclosed a computing apparatus for performing binary classification on a corpus of objects, having : one or more logic elements providing a classification engine to: access a training set comprising a plurality of binary classified objects, each object including one or more features, and each object designated as belonging to the class or not belonging to the class; build a model comprising a probability that each of the one or more features implies that an inspected object belongs to the class; access a particular object from the corpus; analyze the particular object to identify one or more identified features, the identified features selected form the one or more features; assign the particular object a composite score comprising a sum of the identified features; and designate the particular object as belonging to the class if and only if the composite score is above a threshold.

    Abstract translation: 在一个示例中,公开了一种用于对对象语料库执行二进制分类的计算设备,其具有:一个或多个逻辑元件,其提供分类引擎以:访问包括多个二进制数的训练集 分类对象,每个对象包括一个或多个特征,并且每个对象被指定为属于该类别或不属于该类别; 建立包含这样的概率的模型:所述一个或多个特征中的每一个暗示检查对象属于该类; 从语料库访问特定对象; 分析所述特定对象以识别一个或多个识别的特征,所识别的特征选自所述一个或多个特征; 向特定对象分配包括所识别特征的总和的综合分数; 并且当且仅当综合分数高于阈值时才将该特定对象指定为属于该类。

Patent Agency Ranking