搜索:mcmc

找到约 20 项符合「mcmc」的查询结果

结果 20
https://www.eeworm.com/dl/509800.html Matlab

MCMC的matlab源码

MCMC方法的matlab实现,主要包括三个部分: 1,*[rnd,pdf,lpr].m分布函数工具MATLAB的补充 2,MCMC *。M例程来计算和显示MCMC输出总结 3,其他有用的例程
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https://www.eeworm.com/dl/650/242864.html 人工智能/神经网络

semi-supervised MCMC classification

semi-supervised MCMC classification
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https://www.eeworm.com/dl/928607.html 技术资料

mimo系统mcmc检测论文

近年来,统计学中的一些先进方法,如迭代的蒙特卡罗方法,被引入到无线通信系统。它们为高速可靠的通信系统设计提供了全新的设计思路,可以以较低的复杂度获得接近理论最优的性能。
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https://www.eeworm.com/dl/641/255012.html 数学计算

MCMC方法的超分辨paper

MCMC方法的超分辨paper,此论文是已贝叶斯统计论文为基础,是另一种很有效的sr方法
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https://www.eeworm.com/dl/534/398722.html 其他

基于MCMC技术的社会网络搜索.pdf

基于MCMC技术的社会网络搜索.pdf,非常值得一看的文章。
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https://www.eeworm.com/dl/650/176805.html 人工智能/神经网络

This demo nstrates the use of the reversible jump MCMC simulated annealing for neural networks. This

This demo nstrates the use of the reversible jump MCMC simulated annealing for neural networks. This algorithm enables us to maximise the joint posterior distribution of the network parameters and the number of basis function. It performs a global search in the joint space of the ...
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https://www.eeworm.com/dl/650/294287.html 人工智能/神经网络

MCMC(马尔可夫-盟特卡罗方法)实现的程序

MCMC(马尔可夫-盟特卡罗方法)实现的程序
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https://www.eeworm.com/dl/641/284868.html 数学计算

This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hier

This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as ran ...
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https://www.eeworm.com/dl/665/267609.html matlab例程

mcmc 马尔可夫链 蒙特卡罗算法 具体参数 请用help命令

mcmc 马尔可夫链 蒙特卡罗算法 具体参数 请用help命令
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https://www.eeworm.com/dl/650/280633.html 人工智能/神经网络

On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carl

On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The ...
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