Roadmap Motivation of Dual SVM Lagrange Dual SVM Solving Dual SVM Messages behind Dual SVM Summary…

Roadmap Course Introduction Large-Margin Separating Hyperplane Standard Large-Margin Problem Support Vector Machine Reasons behind Large-Margin Hyperplane Summary…

Roadmap Kernel Ridge Regression Support Vector Regression Primal Support Vector Regression Dual Summary of Kernel Models Map of Linear Models Map of Kernel Models possible kernels: polynomial, Gaussian,..., your design (with Mercer’s condition), coup…

Roadmap Motivation of Dual SVM Lagrange Dual SVM Solving Dual SVM Messages behind Dual SVM Summary…

原文地址:https://www.jianshu.com/p/58259cdde0e1 Roadmap Motivation of Dual SVM Lagrange Dual SVM Solving Dual SVM Messages behind Dual SVM Summary…

Roadmap Motivation and Primal Problem Dual Problem Messages behind Soft-Margin SVM Model Selection Summary…

Roadmap Kernel Trick Polynomial Kernel Gaussian Kernel Comparison of Kernels Summary…

第一阶段技法: large margin (the relationship between large marin and regularization), hard-SVM,soft-SVM,dual problem(解对偶问题),kernel trick,kernel logistic regression, 主要思路是:(这里不区分线性与非线性,差别只是特征空间转换,X空间与Z空间的关系) 1. 从PLA出发,对于二维平面的二分类问题,PLA可能得出一堆能够正确分类的直线,但是哪一条直线…

Lecture 12 支持向量机 Support Vector Machines 12.1 优化目标 Optimization Objective 支持向量机(Support Vector Machine) 是一个更加强大的算法,广泛应用于工业界和学术界.与逻辑回归和神经网络相比, SVM在学习复杂的非线性方程时提供了一种更为清晰,更加强大的方式.我们通过回顾逻辑回归,一步步将其修改为SVM. 首先回顾一下逻辑回归: 其 cost function 公式如下(这里稍微有点变化,将负号移到了括号内…

这节课内容介绍了SVM的核心. 首先,既然SVM都可以转化为二次规划问题了,为啥还有有Dual啥的呢?原因如下: 如果x进行non-linear transform后,二次规划算法需要面对的是d`+1维度的N个变量,以及N个约束 如果d`的维度超大,那么二次规划解起来的代价就太大了.因此,SVM的精髓就在于做了如下的问题转化: 不需要问太深奥的数学,知道为啥要dual的motivation就可以了. 这里再次搬出前人的智慧:Lagrange Multipliers 但是这里跟ridge regr…