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人工智能论文:量子检测理论启发的多类分类模型(Multi-class Classification Model Inspired by Quantum Dete

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thaihack 发表于 2018-10-11 09:07:25 | 显示全部楼层 |阅读模式
thaihack 2018-10-11 09:07:25 255 0 显示全部楼层
人工智能论文:量子检测理论启发的多类分类模型(Multi-class Classification Model Inspired by Quantum Detection Theory)机器学习目前已经非常有名,它有助于从原始数据中识别模式。技术进步使机器学习得到了实质性改进,从而有助于改善预测。当前的机器学习模型基于经典理论,可以用量子理论代替,以提高模型的有效性。在之前的工作中,我们开发了受QuantumDetection Theory启发的二元分类器。在这个扩展的摘要中,我们的主要目标是开发多类分类器。当我们有一个分类问题用于将观察或实例分类为三个或更多类中的一个时,我们通常使用术语多项分类或多类分类。
Machine Learning has become very famous currently which assist in identifyingthe patterns from the raw data.Technological advancement has led tosubstantial improvement in Machine Learning which, thus helping to improveprediction.Current Machine Learning models are based on Classical Theory,which can be replaced by Quantum Theory to improve the effectiveness of themodel.In the previous work, we developed binary classifier inspired by QuantumDetection Theory.In this extended abstract, our main goal is to developmulti-class classifier.We generally use the terminology multinomialclassification or multi-class classification when we have a classificationproblem for classifying observations or instances into one of three or moreclasses.人工智能论文:量子检测理论启发的多类分类模型(Multi-class Classification Model Inspired by Quantum Detection Theory) ZohR8Ca00ZtTkZiS.jpg
URL地址:https://arxiv.org/abs/1810.04491     ----pdf下载地址:https://arxiv.org/pdf/1810.04491    ----人工智能论文:量子检测理论启发的多类分类模型(Multi-class Classification Model Inspired by Quantum Detection Theory)
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