Advances in kernel methods：Support Vector Learning

相似文件 换一批

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

比较旧的一本书，但值得一读。有些论坛上可能暂时还没有，跟大家分享一下。参考文献部分缺失，美中不足，可以通过amazon预览看到一部分参考文献。

PART I: THEORY
Chapter 1. Introduction to Support Vector Learning
Chapter 2. Roadmap
Chapter 3. Three Remarks on the Support Vector Method of Function Estimation
Chapter 4. Generalization Performance of Support Vector Machines and Other Pattern Classifiers
Chapter 5. Bayesian Voting Schemes and Large Margin Classifiers (有趣)
Chapter 6. Support Vector Machines, Reproducing Kernel Hilbert Spaces, and Randomized GACV
Chapter 7. Geometry and Invariance in Kernel Based Methods (有趣)
Chapter 8. On the Annealed VC Entropy for Margin Classifiers: A Statistical Mechanics Study
Chapter 9. Entropy Numbers, Operators and Support Vector Kernels

PART II: IMPLEMENTATIONS
Chapter 10: Solving the Quadratic Programming Problem Arising in Support Vector Classification
Chapter 11: Making Large-Scale Support Vector Machine Learning Practical
Chapter 12: Fast Traning of Support Vector Machines Using Sequnential Minimal Optimization
Chapter 13: Support Vector Machines for Dynamic Reconstruction of a Chaotic System
Chapter 14: Using Support Vector Machines for Time Series Prediction
Chapter 15: Pairwise Classification and Support Vector Machines (Hm... 怀疑)
Chapter 16: Reducing hthe Run-time Complexity in SVM
Chapter 17: Support Vector Regression with ANOVA Decomposition Kernels (有趣）
Chpater 18: Support Vector Density Estimation
Chpater 19: Combining Support Vevtor and Mathematical Programming Methods for Classification
Chapter 20: Kernel Principal Component Analysis (有趣)  

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏5 回帖

关键词：Advances Learning Support Methods ADVANCE methods Vector

谢谢分享

还是不错的

支持楼主，找了好久的。

非常经典的一本书

支持楼主，找了好久的。