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SEMI-SUPERVISED LEARNING METHOD

机译:半监督学习方法

摘要

According to an embodiment of the present invention, a learning method is performed by an inference device and comprises: a step of calculating a correction probability based on a co-occurrence frequency of objects in prescribed content; a step of allowing an inference unit included in the inference device to learn based on first content for learning having an annotation about an included object; a step of inputting second content for learning without the annotation about an included object into the learned inference unit; a step of assigning or not assigning a result outputted by the learned inference unit as the annotation to the second content for learning, based on a result value obtained by combining the result outputted by the learned inference unit in response to an input of the second content for learning and the correction probability; and a step of allowing the learned inference unit to learn additionally, based on the second content for learning to which the annotation is assigned.;COPYRIGHT KIPO 2020
机译:根据本发明的实施例,一种学习方法由推理设备执行,并且包括:基于规定内容中的对象的共现频率来计算校正概率的步骤;以及步骤:允许包括在推理设备中的推理单元基于用于学习的第一内容来学习,该第一内容具有关于所包括的对象的注释;在学习的推理单元中输入第二内容进行学习而无需标注所包含的对象的注释。基于响应于第二内容的输入而组合学习到的推理单元输出的结果而获得的结果值,将学习到的推理单元输出的结果作为注释分配或不分配给第二学习内容的步骤学习和纠正的可能性; COPYRIGHT KIPO 2020;以及基于所分配的注释的第二学习内容,使学习的推理单元额外学习的步骤。

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