朴素贝叶斯决策:
详解最大似然估计(MLE)、最大后验概率估计(MAP),以及贝叶斯公式的理解_nebulaf91的博客-CSDN博客_最大后验估计
如何简单理解贝叶斯决策理论(Bayes Decision Theory)? – 知乎
SVM:
The following Python packages are
recommended:
•CVXOPT(https://cvxopt.org/)
•PyCVX (https://www.cvxpy.org/install/)
Support Vector Machine: Python implementation using CVXOPT — Data Blog
https://github.com/monroyaume5/Soft-Margin-SVM-with-CVXOPT
https://github.com/Sharut/SVM-hard_margin-using-CVXPY/blob/master/MySVM.ipynb
https://www.youtube.com/watch?v=gBTtR0bs-1k&ab_channel=AladdinPersson
Support vector machine (SVM) — OSQP documentation
Fitting Support Vector Machines via Quadratic Programming
Original: https://blog.csdn.net/king52113141314/article/details/123231648
Author: king52113141314
Title: 朴素贝叶斯和SVM
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