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Hierarchical classification-based incremental class learning method and computing device for digital storytelling

机译:基于分层分类的数字叙事增量类学习方法及计算装置

摘要

The present invention relates to a hierarchical classification based incremental class learning method and computing device for digital storytelling that proposes a hierarchical classification model capable of incremental class learning when recommending an appropriate multimedia or service. Such an aspect of the present invention is an incremental class learning method that enables hierarchical classification using a classification module composed of a blocking ARTMAP module and a classification ARTMAP module, (a) input information of different channels is classified with the blocking ARTMAP module Input to each ARTMAP module; (b) The input vector reflecting the input information of the different channels input in step (a) is input to the blocking ARTMAP module of any layer, and the incremental information to the next layer is output, and in step (a) Inputting the input vector reflecting input information of different channels into a classification ARTMAP module of any layer, where the class vector of the arbitrary layer is output; And (c) adding a class vector of an arbitrary layer output in step (b) to an input vector reflecting input information of different channels in step (b).
机译:本发明涉及一种用于数字故事的基于分层分类的增量类学习方法和计算设备,其提出了一种在推荐适当的多媒体或服务时能够进行增量类学习的分层分类模型。本发明的这样的方面是一种增量类学习方法,其能够使用由阻塞ARTMAP模块和分类ARTMAP模块组成的分类模块来进行分层分类,(a)利用阻塞ARTMAP模块将不同信道的输入信息分类。每个ARTMAP模块; (b)将反映在步骤(a)中输入的不同通道的输入信息的输入矢量输入到任何层的阻塞ARTMAP模块,并输出到下一层的增量信息,并且在步骤(a)中输入输入向量将不同通道的输入信息反映到任意层的分类ARTMAP模块中,输出任意层的分类向量; (c)在步骤(b)中将步骤(b)中输出的任意层的类矢量与反映不同通道的输入信息的输入矢量相加。

著录项

  • 公开/公告号KR102113663B1

    专利类型

  • 公开/公告日2020-05-22

    原文格式PDF

  • 申请/专利权人 한국과학기술원;

    申请/专利号KR20180124477

  • 发明设计人 김종환;박주연;

    申请日2018-10-18

  • 分类号G06F16;G06F40/20;G06N99;

  • 国家 KR

  • 入库时间 2022-08-21 11:04:41

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