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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 parameters and numb ...
人工智能/神经网络 该程序为基于粒子滤波的一种新算法,综合MCMC Bayesian Model Selection即MONTE CARLO马尔克夫链的算法,用来实现目标跟踪,多目标跟踪,及视频目标跟踪及定位等,解决非线
该程序为基于粒子滤波的一种新算法,综合MCMC Bayesian Model Selection即MONTE CARLO马尔克夫链的算法,用来实现目标跟踪,多目标跟踪,及视频目标跟踪及定位等,解决非线性问题的能力比卡尔曼滤波,EKF,UKF好多了,是我珍藏的好东西,现拿出来与大家共享,舍不得孩子套不着狼,希望大家相互支持,共同促进. ...
人工智能/神经网络 semi-supervised MCMC classification
semi-supervised MCMC classification
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
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
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 derivation and deta ...
数学计算 This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps t
This demo nstrates 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 derivation and details are presented in: Christophe Andrieu, N ...
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 random variables that n ...
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
文章/文档 这是Los Alamos国家实验室的关于mcmc(马尔科夫链蒙特卡洛法)的简明教程
这是Los Alamos国家实验室的关于mcmc(马尔科夫链蒙特卡洛法)的简明教程,适合于刚刚接触到这一领域的朋友会有一些帮助。