Prediction of Surface Roughness Based on Least Square Support Vector Machine in

Support Vector Density Estimation

SupportVectorMachinesvsLogisticRegression

ATutorialOnSupportVectorMachinesForPatternRecognition

VSM TFIDF 空间向量模型 Adapted from Lectures by Prabhakar Raghavan (Yahoo and Stanford) and Christopher Ma

这才是学术精神，挑出别人研究的错误也可以发文章。

文章目录1. 线性可分SVM 与 硬间隔最大化1.1 线性可分SVM1.2 函数间隔、几何间隔1.3 间隔最大化2. 线性SVM 与 软间隔最大化2.1 线性SVM3. 非线性SVM 与 核函数3.1

In this section, we introduce the optimization problems of the support vector data description (SVDD

AnIntroductiontoSupportVectorMachinesandOtherKernel-BasedLearningMethods.pdfsvm系列的经典书籍，pdf版本，有目录

OLIVIER CHAPELLE and VLADIMIR VAPNIK classic paper

Software reliability prediction via relevance vector regression