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Support vector machine learning system and support vector machine learning method

机译:支持向量机学习系统及支持向量机学习方法

摘要

An object of the present invention is to make it possible to securely conceal a label of a teacher signal when performing support vector machine learning. An analysis execution apparatus for performing support vector machine learning stores a set of learning data including a feature vector and a label encrypted by an additive homomorphic encryption method, which are targets of support vector machine learning, and performs encryption. Update processing by gradient method using additive homomorphic addition algorithm.
机译:本发明的目的是使得当执行支持向量机学习时可以安全地隐藏教师信号的标签。用于执行支持向量机器学习的分析执行设备存储一组学习数据,该学习数据包括作为支持向量机器学习的目标的,通过加法同态加密方法加密的特征向量和标签,该学习数据是支持向量机器学习的目标。使用加法同态加法算法通过梯度法进行更新处理。

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