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《大规模数据处理——云计算 Mass Data Processing Cloud Computing》课程教学资源(阅读材料)Efficient Clustering of High-Dimensional Data Sets with Application to Reference Matching
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1 Markov Chain Monte Carlo Methods 1.1 Introduction 1.1.1 Integration problems in Bayesian inference 1.1.2 Markov Chain Monte Carlo Integration 1.1.3 Markov Chain 1.2 The Metropolis-Hastings Algorithm 1.2.1 Metropolis-Hastings Sampler 1.2.2 The Metropolis Sampler 1.2.3 Random Walk Metropolis 1.2.4 The Independence Sampler 1.3 Single-component Metropolis Hastings Algorithms 1.4 Application: Logistic regression
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1 Monte Carlo Methods in Inference 1.1 Monte Carlo Methods for Estimation 1.1.1 Monte Carlo Estimation and Standard Error 1.1.2 Estimation of MSE 1.2 Estimating a confidence level 1.3 Monte Carlo Methods for Hypothesis Tests 1.4 Empirical Type I error rate 1.4.1 Power of a Test 1.4.2 Power Comparisons 1.5 Application: “Count Five” Test for Equal Variance
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《电磁学》课程教学资源(拓展资料)EM application Electroquasistatic and Magnetoquasistatic Fields and Boundary Conditions
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《电磁学》课程教学资源(拓展资料)EM application Polarization and Conduction
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《电磁学》课程教学资源(拓展资料)EM application Magnetoquasistatic Forces
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《电磁学》课程教学资源(拓展资料)EM application Chapter 1 Fields
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• The background of 5G • 5G network architecture • 5G protocols • 5G core technology • Application and prospect of 5G
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2.1 concepts and architecture of SDN 2.2 interfaces and protocols 2.3 P4 2.4 application and research challenges
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川北医学院:《单片机原理》课程教学资源(教学大纲)单片机原理与应用技术 Monolithic principle and application technology
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