论文标题
L2支持向量机训练的梯度流
Gradient Flows for L2 Support Vector Machine Training
论文作者
论文摘要
我们通过解决普通微分方程的系统进行二元分类的支持向量机进行培训的优点。因此，我们对机器学习问题进行了连续的时间视角，这对于（重新）新兴硬件平台（例如模拟计算机或量子计算机）上的实现可能很感兴趣。
We explore the merits of training of support vector machines for binary classification by means of solving systems of ordinary differential equations. We thus assume a continuous time perspective on a machine learning problem which may be of interest for implementations on (re)emerging hardware platforms such as analog- or quantum computers.
