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Work evaluation value prediction method, program and system

机译:工作评价值预测方法,程序和系统

摘要

PROBLEM TO BE SOLVED: To provide a method for predicting a work evaluation value of a worker.;SOLUTION: At the stage that labeled data of full operations and negligent operations of a plurality of times performed by a plurality of worker is preserved in a computer hard disk, for i=1, ..., M (where M is the number of workers), machine learning based on a linear identification model is applied to labeled data of the full operations and the negligent operations by a worker i. As a result, parameters w(1), w(2), ..., w(M) of the respective workers making trial are obtained, and by dividing the sum thereof by M, a mean w is obtained. Alternatively, it may also be possible to obtain a weighted mean w which is weighted by the number of times of trials by each worker. By this, the parameter w of the total results is obtained and this w is applied to an evaluation function. Then, for example, by obtaining an internal product of work data x of a new worker and w, an evaluation value of x is obtained.;COPYRIGHT: (C)2010,JPO&INPIT
机译:解决的问题:提供一种预测工人的工作评价值的方法。解决方案:在此阶段,将由多个工人执行的多次完全操作和疏忽操作的标记数据保存在计算机中在硬盘上,对于i = 1,...,M(其中M是工人的数量),基于线性标识模型的机器学习将被应用于工人i的全部操作和疏忽操作的标记数据。结果,进行试验的各个工人的参数w (1),w (2),...,w (M)通过求和,将其和除以M,得到平均值w。可替代地,也可能获得加权均值w,该加权均值w由每个工人的试验次数加权。由此,获得总结果的参数w,并将该w应用于评估函数。然后,例如,通过获取新工人的工作数据x与w的内部乘积,获得x的评估值。版权所有:(C)2010,JPO&INPIT

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