模式识别随堂笔记（4）ᝰ隐马尔可夫模型和贝叶斯网络

 

一、引言

二、贝叶斯网络的基本概念 

>>>贝叶斯网络的基本概念

贝叶斯网络和朴素贝叶斯的区别https://blog.csdn.net/weixin_38438451/article/details/82849802?utm_medium=distribute.pc_relevant.none-task-blog-2~default~baidujs_utm_term~default-8-82849802-blog-106029275.pc_relevant_multi_platform_whitelistv4&spm=1001.2101.3001.4242.5&utm_relevant_index=11

 三、隐马尔可夫模型

HMM（隐马尔可夫）的基本概念https://blog.csdn.net/liusisi_/article/details/108350944

>>>初学者也能看懂的隐马尔科夫模型介绍

>>>统计学习方法笔记——隐马尔可夫模型（内含Python代码实现)

 1.HMM模型评估问题

>>>HMM隐马尔可夫模型详解 500+收藏

>>>HMM隐马尔可夫模型-通俗易懂

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2.EM算法

>>>如何通俗理解EM算法 10W+阅读

四、朴素贝叶斯分类器

>>>朴素贝叶斯算法 — 超详细公式讲解+代码实例 500+收藏

>>>朴素贝叶斯的概述、应用利用贝叶斯算法实现手写体识别https://blog.csdn.net/Nonoroya_Zoro/article/details/80600684?ops_request_misc=&request_id=&biz_id=102&utm_term=%E5%9F%BA%E4%BA%8E%E8%B4%9D%E5%8F%B6%E6%96%AF%E7%9A%84%E6%89%8B%E5%86%99%E8%AF%86%E5%88%AB%E7%AE%97%E6%B3%95&utm_medium=distribute.pc_search_result.none-task-blog-2~all~sobaiduweb~default-2-80600684.142^v50^control,201^v3^control_1&spm=1018.2226.3001.4187

五、题外话

自然语言处理——NLP入门指南https://blog.csdn.net/zwqjoy/article/details/103546648?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522166323577416800186537011%2522%252C%2522scm%2522%253A%252220140713.130102334.pc%255Fblog.%2522%257D&request_id=166323577416800186537011&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~blog~first_rank_ecpm_v1~pc_rank_34-4-103546648-null-null.142%5Ev47%5Epc_rank_34_default_2,201%5Ev3%5Eadd_ask&utm_term=NLP&spm=1018.2226.3001.4187

维特比(Viterbi)算法https://blog.csdn.net/sgyuanshi/article/details/105646668?ops_request_misc=&request_id=&biz_id=102&utm_term=%E7%BB%B4%E7%89%B9%E6%AF%94%E7%AE%97%E6%B3%95&utm_medium=distribute.pc_search_result.none-task-blog-2~all~sobaiduweb~default-0-105646668.142%5Ev47%5Epc_rank_34_default_2,201%5Ev3%5Eadd_ask&spm=1018.2226.3001.4187

HMM定义、三个基本问题、思考https://zhuanlan.zhihu.com/p/398880896Python Pillow(PIL)库的用法介绍https://blog.csdn.net/weixin_43790276/article/details/108478270?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522166383931016782390593668%2522%252C%2522scm%2522%253A%252220140713.130102334..%2522%257D&request_id=166383931016782390593668&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~all~top_positive~default-1-108478270-null-null.142^v50^control,201^v3^control_1&utm_term=PIL&spm=1018.2226.3001.4187