The SVM (Support vector Machine) classifies the data by mapping the vector from low-dimensional space to high-dimensional space using kernel function.
而SVM(支持向量机)引进核函数隐含的映射把低维特征空间中的样本数据映射到高维特征空间来实现分类。
2
Kernel Methods are concerned with mapping input data into a higher dimensional vectorspace where some classification or regression problems are easier to model.
Kernel Methods are concerned with mapping input data into a higher dimensional vectorspace where some classification or regression problems are easier to model.