清华大学 张长水 模式识别课件 2018

[{"title":"（ 17 个子文件 20.52MB ） 清华大学 张长水 模式识别课件 2018","children":[{"title":"模式识别课件","children":[{"title":"2018模式识别课程要求_137907777.pdf <span style='color:#111;'> 1.60MB </span>","children":null,"spread":false},{"title":"第二章 贝叶斯决策_372404183.pdf <span style='color:#111;'> 1019.70KB </span>","children":null,"spread":false},{"title":"6-近邻法和距离_545608959.pdf <span style='color:#111;'> 1.55MB </span>","children":null,"spread":false},{"title":"答疑_93130275.jpeg <span style='color:#111;'> 59.38KB </span>","children":null,"spread":false},{"title":"第四章_878007478_670303559.pdf <span style='color:#111;'> 8.96MB </span>","children":null,"spread":false},{"title":"5-SVM_84807767.pdf <span style='color:#111;'> 1.49MB </span>","children":null,"spread":false},{"title":"第8章 特征提取和特征选择_16606996.pdf <span style='color:#111;'> 833.13KB </span>","children":null,"spread":false},{"title":"第三章 概率密度函数估计_177209744.pdf <span style='color:#111;'> 1.53MB </span>","children":null,"spread":false},{"title":"朴素贝叶斯分类器_89660121.pdf <span style='color:#111;'> 306.86KB </span>","children":null,"spread":false},{"title":"决策树2018_524308606.pdf <span style='color:#111;'> 682.66KB </span>","children":null,"spread":false},{"title":"GA_79504072.pdf <span style='color:#111;'> 408.80KB </span>","children":null,"spread":false},{"title":"7-特征提取和特征选择_291109045.pdf <span style='color:#111;'> 1.74MB </span>","children":null,"spread":false},{"title":"第3章概率密度函数的估计_472508525.pdf <span style='color:#111;'> 750.69KB </span>","children":null,"spread":false},{"title":"线性判别函数_120307550.pdf <span style='color:#111;'> 559.69KB </span>","children":null,"spread":false},{"title":"4-EMtoGMM_56410917.pdf <span style='color:#111;'> 851.35KB </span>","children":null,"spread":false},{"title":"作业em讲解.docx <span style='color:#111;'> 11.30KB </span>","children":null,"spread":false},{"title":"非度量方法_638805885.pdf <span style='color:#111;'> 281.01KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]