模式课件
Chapter10 Unsupervised Learning and Clustering v2.pdf
372KB
课后答案
模式分类习题答案
homework
第五章 线性判别函数习题答案.pdf
79KB
第三章 最大似然估计和贝叶斯参数估计习题答案.pdf
71KB
ch4.pdf
113KB
ch38.pdf
480KB
ch3.pdf
145KB
第四章 非参数技术习题答案.pdf
113KB
第1题更详细的证明.pdf
29KB
ch2.pdf
128KB
第二章 贝叶斯决策论习题答案.pdf
74KB
模式分类习题答案.rar
1.07MB
Chapter5 Linear Discriminant Functions v2.pdf
727KB
answer
homework1sol.pdf
110KB
hw1_sol.pdf
61KB
Chapter2 Bayesian Decision Theory v2.pdf
492KB
Chapter1 Introduction v2.pdf
248KB
Chapter3 Maximum-Likelihood and Bayesian Parameter Estimation v2.pdf
510KB
Chapter4 Nonparametric Techniques v2.pdf
331KB
模式10-13
Chapter1 Introduction v1.pdf
322KB
Chapter3 Maximum-Likelihood and Bayesian Parameter Estimation v1.pdf
992KB
Chapter10 Unsupervised Learning and Clustering v1.pdf
583KB
Chapter4 Nonparametric Techniques v1.pdf
534KB
Chapter5 Linear Discriminant Functions v1.pdf
940KB
Chapter10 Unsupervised Learning and Clustering v2.pdf
372KB
Chapter5 Linear Discriminant Functions v2.pdf
727KB
Chapter2 Bayesian Decision Theory v1.pdf
595KB
Chapter2 Bayesian Decision Theory v2.pdf
492KB
Chapter1 Introduction v2.pdf
248KB
Chapter3 Maximum-Likelihood and Bayesian Parameter Estimation v2.pdf
510KB
Chapter4 Nonparametric Techniques v2.pdf
331KB
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