简介:Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic model
One Class SVM 是指你的training data 只有一类positive (或者negative)的data, 而没有另外的一类.在这时,你需要learn的实际上你training data 的boundary.而这时不能使用 maximum margin 了,因为你没有两类的data. 所以呢,在这边文章中,“Estimating the support of a high-dimensional distribution”, Schölkopf 假设最好的boundary要远