山东大学 模式识别课件

[{"title":"（ 30 个子文件 10.64MB ） 山东大学 模式识别课件","children":[{"title":"模式课件","children":[{"title":"Chapter10 Unsupervised Learning and Clustering v2.pdf <span style='color:#111;'> 371.66KB </span>","children":null,"spread":false},{"title":"课后答案","children":[{"title":"模式分类习题答案","children":[{"title":"homework","children":[{"title":"第五章 线性判别函数习题答案.pdf <span style='color:#111;'> 78.76KB </span>","children":null,"spread":false},{"title":"第三章 最大似然估计和贝叶斯参数估计习题答案.pdf <span style='color:#111;'> 71.23KB </span>","children":null,"spread":false},{"title":"ch4.pdf <span style='color:#111;'> 113.34KB </span>","children":null,"spread":false},{"title":"ch38.pdf <span style='color:#111;'> 479.58KB </span>","children":null,"spread":false},{"title":"ch3.pdf <span style='color:#111;'> 145.21KB </span>","children":null,"spread":false},{"title":"第四章 非参数技术习题答案.pdf <span style='color:#111;'> 113.34KB </span>","children":null,"spread":false},{"title":"第1题更详细的证明.pdf <span style='color:#111;'> 28.95KB </span>","children":null,"spread":false},{"title":"ch2.pdf <span style='color:#111;'> 127.51KB </span>","children":null,"spread":false},{"title":"第二章 贝叶斯决策论习题答案.pdf <span style='color:#111;'> 73.88KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"模式分类习题答案.rar <span style='color:#111;'> 1.07MB </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter5 Linear Discriminant Functions v2.pdf <span style='color:#111;'> 726.78KB </span>","children":null,"spread":false},{"title":"answer","children":[{"title":"homework1sol.pdf <span style='color:#111;'> 110.29KB </span>","children":null,"spread":false},{"title":"hw1_sol.pdf <span style='color:#111;'> 61.37KB </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter2 Bayesian Decision Theory v2.pdf <span style='color:#111;'> 491.90KB </span>","children":null,"spread":false},{"title":"Chapter1 Introduction v2.pdf <span style='color:#111;'> 248.47KB </span>","children":null,"spread":false},{"title":"Chapter3 Maximum-Likelihood and Bayesian Parameter Estimation v2.pdf <span style='color:#111;'> 510.02KB </span>","children":null,"spread":false},{"title":"Chapter4 Nonparametric Techniques v2.pdf <span style='color:#111;'> 331.26KB </span>","children":null,"spread":false},{"title":"模式10-13","children":[{"title":"Chapter1 Introduction v1.pdf <span style='color:#111;'> 321.54KB </span>","children":null,"spread":false},{"title":"Chapter3 Maximum-Likelihood and Bayesian Parameter Estimation v1.pdf <span style='color:#111;'> 991.60KB </span>","children":null,"spread":false},{"title":"Chapter10 Unsupervised Learning and Clustering v1.pdf <span style='color:#111;'> 583.12KB </span>","children":null,"spread":false},{"title":"Chapter4 Nonparametric Techniques v1.pdf <span style='color:#111;'> 533.62KB </span>","children":null,"spread":false},{"title":"Chapter5 Linear Discriminant Functions v1.pdf <span style='color:#111;'> 940.28KB </span>","children":null,"spread":false},{"title":"Chapter10 Unsupervised Learning and Clustering v2.pdf <span style='color:#111;'> 371.66KB </span>","children":null,"spread":false},{"title":"Chapter5 Linear Discriminant Functions v2.pdf <span style='color:#111;'> 726.78KB </span>","children":null,"spread":false},{"title":"Chapter2 Bayesian Decision Theory v1.pdf <span style='color:#111;'> 595.39KB </span>","children":null,"spread":false},{"title":"Chapter2 Bayesian Decision Theory v2.pdf <span style='color:#111;'> 491.90KB </span>","children":null,"spread":false},{"title":"Chapter1 Introduction v2.pdf <span style='color:#111;'> 248.47KB </span>","children":null,"spread":false},{"title":"Chapter3 Maximum-Likelihood and Bayesian Parameter Estimation v2.pdf <span style='color:#111;'> 510.02KB </span>","children":null,"spread":false},{"title":"Chapter4 Nonparametric Techniques v2.pdf <span style='color:#111;'> 331.26KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}],"spread":true}]