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<li class="chapter" data-level="" data-path="index.html"><a href="index.html"><i class="fa fa-check"></i>简介</a></li>
<li class="chapter" data-level="1" data-path="introduction.html"><a href="introduction.html"><i class="fa fa-check"></i><b>1</b> Introduction</a>
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<li class="chapter" data-level="1.1" data-path="introduction.html"><a href="introduction.html#频率派的观点"><i class="fa fa-check"></i><b>1.1</b> 频率派的观点</a></li>
<li class="chapter" data-level="1.2" data-path="introduction.html"><a href="introduction.html#贝叶斯派的观点"><i class="fa fa-check"></i><b>1.2</b> 贝叶斯派的观点</a></li>
<li class="chapter" data-level="1.3" data-path="introduction.html"><a href="introduction.html#小结"><i class="fa fa-check"></i><b>1.3</b> 小结</a></li>
<li class="chapter" data-level="1.4" data-path="introduction.html"><a href="introduction.html#高斯分布"><i class="fa fa-check"></i><b>1.4</b> 高斯分布</a>
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<li class="chapter" data-level="1.4.1" data-path="introduction.html"><a href="introduction.html#一维情况-mle"><i class="fa fa-check"></i><b>1.4.1</b> 一维情况 MLE</a></li>
<li class="chapter" data-level="1.4.2" data-path="introduction.html"><a href="introduction.html#多维情况"><i class="fa fa-check"></i><b>1.4.2</b> 多维情况</a></li>
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<li class="chapter" data-level="1.5" data-path="introduction.html"><a href="introduction.html#最小二乘法"><i class="fa fa-check"></i><b>1.5</b> 最小二乘法</a></li>
<li class="chapter" data-level="1.6" data-path="introduction.html"><a href="introduction.html#噪声为高斯分布的-mle"><i class="fa fa-check"></i><b>1.6</b> 噪声为高斯分布的 MLE</a></li>
<li class="chapter" data-level="1.7" data-path="introduction.html"><a href="introduction.html#权重先验也为高斯分布的-map"><i class="fa fa-check"></i><b>1.7</b> 权重先验也为高斯分布的 MAP</a></li>
<li class="chapter" data-level="1.8" data-path="introduction.html"><a href="introduction.html#正则化"><i class="fa fa-check"></i><b>1.8</b> 正则化</a>
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<li class="chapter" data-level="1.8.1" data-path="introduction.html"><a href="introduction.html#l1-lasso"><i class="fa fa-check"></i><b>1.8.1</b> L1 Lasso</a></li>
<li class="chapter" data-level="1.8.2" data-path="introduction.html"><a href="introduction.html#l2-ridge"><i class="fa fa-check"></i><b>1.8.2</b> L2 Ridge</a></li>
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<li class="chapter" data-level="1.9" data-path="introduction.html"><a href="introduction.html#小结-1"><i class="fa fa-check"></i><b>1.9</b> 小结</a></li>
<li class="chapter" data-level="1.10" data-path="introduction.html"><a href="introduction.html#两分类-硬分类-感知机算法"><i class="fa fa-check"></i><b>1.10</b> 两分类-硬分类-感知机算法</a></li>
<li class="chapter" data-level="1.11" data-path="introduction.html"><a href="introduction.html#两分类-硬分类-线性判别分析-lda"><i class="fa fa-check"></i><b>1.11</b> 两分类-硬分类-线性判别分析 LDA</a></li>
<li class="chapter" data-level="1.12" data-path="introduction.html"><a href="introduction.html#两分类-软分类-概率判别模型-logistic-回归"><i class="fa fa-check"></i><b>1.12</b> 两分类-软分类-概率判别模型-Logistic 回归</a></li>
<li class="chapter" data-level="1.13" data-path="introduction.html"><a href="introduction.html#两分类-软分类-概率生成模型-高斯判别分析-gda"><i class="fa fa-check"></i><b>1.13</b> 两分类-软分类-概率生成模型-高斯判别分析 GDA</a></li>
<li class="chapter" data-level="1.14" data-path="introduction.html"><a href="introduction.html#两分类-软分类-概率生成模型-朴素贝叶斯"><i class="fa fa-check"></i><b>1.14</b> 两分类-软分类-概率生成模型-朴素贝叶斯</a></li>
<li class="chapter" data-level="1.15" data-path="introduction.html"><a href="introduction.html#小结-2"><i class="fa fa-check"></i><b>1.15</b> 小结</a></li>
<li class="chapter" data-level="1.16" data-path="introduction.html"><a href="introduction.html#线性降维-主成分分析-pca"><i class="fa fa-check"></i><b>1.16</b> 线性降维-主成分分析 PCA</a>
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<li class="chapter" data-level="1.16.1" data-path="introduction.html"><a href="introduction.html#损失函数"><i class="fa fa-check"></i><b>1.16.1</b> 损失函数</a></li>
<li class="chapter" data-level="1.16.2" data-path="introduction.html"><a href="introduction.html#svd-与-pcoa"><i class="fa fa-check"></i><b>1.16.2</b> SVD 与 PCoA</a></li>
<li class="chapter" data-level="1.16.3" data-path="introduction.html"><a href="introduction.html#p-pca"><i class="fa fa-check"></i><b>1.16.3</b> p-PCA</a></li>
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<li class="chapter" data-level="1.17" data-path="introduction.html"><a href="introduction.html#小结-3"><i class="fa fa-check"></i><b>1.17</b> 小结</a></li>
<li class="chapter" data-level="1.18" data-path="introduction.html"><a href="introduction.html#约束优化问题"><i class="fa fa-check"></i><b>1.18</b> 约束优化问题</a></li>
<li class="chapter" data-level="1.19" data-path="introduction.html"><a href="introduction.html#hard-margin-svm"><i class="fa fa-check"></i><b>1.19</b> Hard-margin SVM</a></li>
<li class="chapter" data-level="1.20" data-path="introduction.html"><a href="introduction.html#soft-margin-svm"><i class="fa fa-check"></i><b>1.20</b> Soft-margin SVM</a></li>
<li class="chapter" data-level="1.21" data-path="introduction.html"><a href="introduction.html#kernel-method"><i class="fa fa-check"></i><b>1.21</b> Kernel Method</a></li>
<li class="chapter" data-level="1.22" data-path="introduction.html"><a href="introduction.html#小结-4"><i class="fa fa-check"></i><b>1.22</b> 小结</a></li>
<li class="chapter" data-level="1.23" data-path="introduction.html"><a href="introduction.html#一维高斯分布"><i class="fa fa-check"></i><b>1.23</b> 一维高斯分布</a></li>
<li class="chapter" data-level="1.24" data-path="introduction.html"><a href="introduction.html#充分统计量和对数配分函数的关系"><i class="fa fa-check"></i><b>1.24</b> 充分统计量和对数配分函数的关系</a></li>
<li class="chapter" data-level="1.25" data-path="introduction.html"><a href="introduction.html#充分统计量和极大似然估计"><i class="fa fa-check"></i><b>1.25</b> 充分统计量和极大似然估计</a></li>
<li class="chapter" data-level="1.26" data-path="introduction.html"><a href="introduction.html#最大熵"><i class="fa fa-check"></i><b>1.26</b> 最大熵</a></li>
<li class="chapter" data-level="1.27" data-path="introduction.html"><a href="introduction.html#有向图-贝叶斯网络"><i class="fa fa-check"></i><b>1.27</b> 有向图-贝叶斯网络</a></li>
<li class="chapter" data-level="1.28" data-path="introduction.html"><a href="introduction.html#无向图-马尔可夫网络马尔可夫随机场"><i class="fa fa-check"></i><b>1.28</b> 无向图-马尔可夫网络（马尔可夫随机场）</a></li>
<li class="chapter" data-level="1.29" data-path="introduction.html"><a href="introduction.html#两种图的转换-道德图"><i class="fa fa-check"></i><b>1.29</b> 两种图的转换-道德图</a></li>
<li class="chapter" data-level="1.30" data-path="introduction.html"><a href="introduction.html#更精细的分解-因子图"><i class="fa fa-check"></i><b>1.30</b> 更精细的分解-因子图</a></li>
<li class="chapter" data-level="1.31" data-path="introduction.html"><a href="introduction.html#推断"><i class="fa fa-check"></i><b>1.31</b> 推断</a>
<ul>
<li class="chapter" data-level="1.31.1" data-path="introduction.html"><a href="introduction.html#推断-变量消除ve"><i class="fa fa-check"></i><b>1.31.1</b> 推断-变量消除（VE）</a></li>
<li class="chapter" data-level="1.31.2" data-path="introduction.html"><a href="introduction.html#推断-信念传播bp"><i class="fa fa-check"></i><b>1.31.2</b> 推断-信念传播（BP）</a></li>
<li class="chapter" data-level="1.31.3" data-path="introduction.html"><a href="introduction.html#推断-max-product-算法"><i class="fa fa-check"></i><b>1.31.3</b> 推断-Max-Product 算法</a></li>
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<li class="chapter" data-level="1.32" data-path="introduction.html"><a href="introduction.html#广义-em"><i class="fa fa-check"></i><b>1.32</b> 广义 EM</a></li>
<li class="chapter" data-level="1.33" data-path="introduction.html"><a href="introduction.html#em-的推广"><i class="fa fa-check"></i><b>1.33</b> EM 的推广</a></li>
<li class="chapter" data-level="1.34" data-path="introduction.html"><a href="introduction.html#极大似然估计"><i class="fa fa-check"></i><b>1.34</b> 极大似然估计</a></li>
<li class="chapter" data-level="1.35" data-path="introduction.html"><a href="introduction.html#em-求解-gmm"><i class="fa fa-check"></i><b>1.35</b> EM 求解 GMM</a></li>
<li class="chapter" data-level="1.36" data-path="introduction.html"><a href="introduction.html#基于平均场假设的变分推断"><i class="fa fa-check"></i><b>1.36</b> 基于平均场假设的变分推断</a></li>
<li class="chapter" data-level="1.37" data-path="introduction.html"><a href="introduction.html#sgvi"><i class="fa fa-check"></i><b>1.37</b> SGVI</a></li>
<li class="chapter" data-level="1.38" data-path="introduction.html"><a href="introduction.html#蒙特卡洛方法"><i class="fa fa-check"></i><b>1.38</b> 蒙特卡洛方法</a></li>
<li class="chapter" data-level="1.39" data-path="introduction.html"><a href="introduction.html#mcmc"><i class="fa fa-check"></i><b>1.39</b> MCMC</a></li>
<li class="chapter" data-level="1.40" data-path="introduction.html"><a href="introduction.html#平稳分布"><i class="fa fa-check"></i><b>1.40</b> 平稳分布</a></li>
<li class="chapter" data-level="1.41" data-path="introduction.html"><a href="introduction.html#隐马尔可夫模型"><i class="fa fa-check"></i><b>1.41</b> 隐马尔可夫模型</a></li>
<li class="chapter" data-level="1.42" data-path="introduction.html"><a href="introduction.html#hmm"><i class="fa fa-check"></i><b>1.42</b> HMM</a>
<ul>
<li class="chapter" data-level="1.42.1" data-path="introduction.html"><a href="introduction.html#evaluation"><i class="fa fa-check"></i><b>1.42.1</b> Evaluation</a></li>
<li class="chapter" data-level="1.42.2" data-path="introduction.html"><a href="introduction.html#learning"><i class="fa fa-check"></i><b>1.42.2</b> Learning</a></li>
<li class="chapter" data-level="1.42.3" data-path="introduction.html"><a href="introduction.html#decoding"><i class="fa fa-check"></i><b>1.42.3</b> Decoding</a></li>
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<li class="chapter" data-level="1.43" data-path="introduction.html"><a href="introduction.html#小结-5"><i class="fa fa-check"></i><b>1.43</b> 小结</a></li>
<li class="chapter" data-level="1.44" data-path="introduction.html"><a href="introduction.html#sis"><i class="fa fa-check"></i><b>1.44</b> SIS</a></li>
<li class="chapter" data-level="1.45" data-path="introduction.html"><a href="introduction.html#crf-的-pdf"><i class="fa fa-check"></i><b>1.45</b> CRF 的 PDF</a></li>
<li class="chapter" data-level="1.46" data-path="introduction.html"><a href="introduction.html#边缘概率"><i class="fa fa-check"></i><b>1.46</b> 边缘概率</a></li>
<li class="chapter" data-level="1.47" data-path="introduction.html"><a href="introduction.html#参数估计"><i class="fa fa-check"></i><b>1.47</b> 参数估计</a></li>
<li class="chapter" data-level="1.48" data-path="introduction.html"><a href="introduction.html#译码"><i class="fa fa-check"></i><b>1.48</b> 译码</a></li>
<li class="chapter" data-level="1.49" data-path="introduction.html"><a href="introduction.html#高斯贝叶斯网络-gbn"><i class="fa fa-check"></i><b>1.49</b> 高斯贝叶斯网络 GBN</a></li>
<li class="chapter" data-level="1.50" data-path="introduction.html"><a href="introduction.html#高斯马尔可夫网络-gmn"><i class="fa fa-check"></i><b>1.50</b> 高斯马尔可夫网络 GMN</a></li>
<li class="chapter" data-level="1.51" data-path="introduction.html"><a href="introduction.html#推断-1"><i class="fa fa-check"></i><b>1.51</b> 推断</a></li>
<li class="chapter" data-level="1.52" data-path="introduction.html"><a href="introduction.html#预测"><i class="fa fa-check"></i><b>1.52</b> 预测</a></li>
<li class="chapter" data-level="1.53" data-path="introduction.html"><a href="introduction.html#核贝叶斯线性回归"><i class="fa fa-check"></i><b>1.53</b> 核贝叶斯线性回归</a></li>
<li class="chapter" data-level="1.54" data-path="introduction.html"><a href="introduction.html#函数空间的观点"><i class="fa fa-check"></i><b>1.54</b> 函数空间的观点</a></li>
<li class="chapter" data-level="1.55" data-path="introduction.html"><a href="introduction.html#推断-2"><i class="fa fa-check"></i><b>1.55</b> 推断</a>
<ul>
<li class="chapter" data-level="1.55.1" data-path="introduction.html"><a href="introduction.html#phv"><i class="fa fa-check"></i><b>1.55.1</b> <span class="math inline">\(p(h|v)\)</span></a></li>
<li class="chapter" data-level="1.55.2" data-path="introduction.html"><a href="introduction.html#pv"><i class="fa fa-check"></i><b>1.55.2</b> <span class="math inline">\(p(v)\)</span></a></li>
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<li class="chapter" data-level="1.56" data-path="introduction.html"><a href="introduction.html#from-pla-to-dl"><i class="fa fa-check"></i><b>1.56</b> From PLA to DL</a></li>
<li class="chapter" data-level="1.57" data-path="introduction.html"><a href="introduction.html#非线性问题"><i class="fa fa-check"></i><b>1.57</b> 非线性问题</a></li>
<li class="chapter" data-level="1.58" data-path="introduction.html"><a href="introduction.html#包含配分函数的-mle"><i class="fa fa-check"></i><b>1.58</b> 包含配分函数的 MLE</a></li>
<li class="chapter" data-level="1.59" data-path="introduction.html"><a href="introduction.html#对比散度-cd-learning"><i class="fa fa-check"></i><b>1.59</b> 对比散度-CD Learning</a></li>
<li class="chapter" data-level="1.60" data-path="introduction.html"><a href="introduction.html#rbm-的学习问题"><i class="fa fa-check"></i><b>1.60</b> RBM 的学习问题</a></li>
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