贝叶斯分类器
贝叶斯决策论
![](https://img.haomeiwen.com/i11128682/2f5fe08a2f0a08a7.png)
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1.最小化总体风险
![](https://img.haomeiwen.com/i11128682/e1807e2a99afe100.png)
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![](https://img.haomeiwen.com/i11128682/dccc8a27b52d4021.png)
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2.最大化后验概率
![](https://img.haomeiwen.com/i11128682/21aaea9394f8c335.png)
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![](https://img.haomeiwen.com/i11128682/22c0a856c5b9e35d.png)
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![](https://img.haomeiwen.com/i11128682/ab119349a8a80904.png)
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3.极大似然估计类条件概率
![](https://img.haomeiwen.com/i11128682/5a17463ec49b1e68.png)
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![](https://img.haomeiwen.com/i11128682/7d11954c9e1e3da3.png)
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![](https://img.haomeiwen.com/i11128682/79ff016e57af1ab5.png)
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朴素贝叶斯分类器
1.贝叶斯判定准则
![](https://img.haomeiwen.com/i11128682/c9be077af9c88dd1.png)
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![](https://img.haomeiwen.com/i11128682/e07f405e17594531.png)
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2.离散和连续属性的贝叶斯判定
![](https://img.haomeiwen.com/i11128682/e3f86fb21c5ac1b0.png)
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![](https://img.haomeiwen.com/i11128682/108f4b85bcbdb901.png)
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![](https://img.haomeiwen.com/i11128682/322bcce69a90f977.png)
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![](https://img.haomeiwen.com/i11128682/c8691c84291e791c.png)
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![](https://img.haomeiwen.com/i11128682/064ac049570c4fcc.png)
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3.拉普拉斯修正
![](https://img.haomeiwen.com/i11128682/7cd49df6e4677e3f.png)
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![](https://img.haomeiwen.com/i11128682/087231fe2e39bd4f.png)
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半朴素贝叶斯分类器
1.介绍
![](https://img.haomeiwen.com/i11128682/1eec12fb9a1f2b22.png)
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![](https://img.haomeiwen.com/i11128682/4b195b9c4cc8a668.png)
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2.属性依赖关系
![](https://img.haomeiwen.com/i11128682/f68b2dfd1aa6e39b.png)
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3.TAN独依赖分类器
![](https://img.haomeiwen.com/i11128682/25b01124ae24b7c1.png)
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![](https://img.haomeiwen.com/i11128682/ec554f0c6a594e04.png)
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4.AODE独依赖分类器
![](https://img.haomeiwen.com/i11128682/21b0ab6b3e45f1af.png)
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![](https://img.haomeiwen.com/i11128682/832acd480ff5ac86.png)
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![](https://img.haomeiwen.com/i11128682/d30bd6fc5ea9f5c8.png)
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贝叶斯网
1.介绍
![](https://img.haomeiwen.com/i11128682/926a4b7025202b51.png)
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![](https://img.haomeiwen.com/i11128682/63f3d3e92e782c7e.png)
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![](https://img.haomeiwen.com/i11128682/31141cfe6094b92d.png)
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2.结构
![](https://img.haomeiwen.com/i11128682/6b8ce78178dcd3d7.png)
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![](https://img.haomeiwen.com/i11128682/22cf5f6692a45b75.png)
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![](https://img.haomeiwen.com/i11128682/12c6ba3b41c1664a.png)
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![](https://img.haomeiwen.com/i11128682/2d1181a3089302ec.png)
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![](https://img.haomeiwen.com/i11128682/4df2b3ecba2c7042.png)
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![](https://img.haomeiwen.com/i11128682/a1bb600ef595968b.png)
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3.学习
3.1评分搜索
![](https://img.haomeiwen.com/i11128682/52a494d07ef05b61.png)
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![](https://img.haomeiwen.com/i11128682/4be0135adafa2497.png)
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![](https://img.haomeiwen.com/i11128682/952e0026dd81e64a.png)
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![](https://img.haomeiwen.com/i11128682/b10f915043e19ae6.png)
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3.2评分搜索NP难
![](https://img.haomeiwen.com/i11128682/a80a5b84a3e7de31.png)
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4.学习
4.1吉布斯采样法
![](https://img.haomeiwen.com/i11128682/170eb05e3f7c7274.png)
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![](https://img.haomeiwen.com/i11128682/f71a9ffce7626424.png)
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![](https://img.haomeiwen.com/i11128682/d451cb60205abde5.png)
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![](https://img.haomeiwen.com/i11128682/34fbf75a48ed8aac.png)
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EM算法
![](https://img.haomeiwen.com/i11128682/2baeaf8e0d6896ba.png)
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![](https://img.haomeiwen.com/i11128682/fad7e6b41d7d4a44.png)
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![](https://img.haomeiwen.com/i11128682/dca3001e9a1da2e2.png)
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![](https://img.haomeiwen.com/i11128682/169411af8d08c3bf.png)
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![](https://img.haomeiwen.com/i11128682/0a1caa9ddc43f4fc.png)
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总结
1.贝叶斯决策论
![](https://img.haomeiwen.com/i11128682/7319f7a2a514189a.png)
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2.贝叶斯网
![](https://img.haomeiwen.com/i11128682/95d378ddc77a8743.png)
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3.EM算法
![](https://img.haomeiwen.com/i11128682/8f6dcc45503d1a60.png)
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(以上图片来源于周志华《机器学习》)
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