搜索资源列表
On-Line_MCMC_Bayesian_Model_Selection
- 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 a
Reversible_Jump_MCMC_Bayesian_Model_Selection
- 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 paramete
MCMC
- 这是马尔可夫-蒙特卡罗算法的MATLAB源程序.
msvar
- MCMC（马尔可夫－盟特卡罗方法）实现的程序
27796735particlefilter-mcmc
- 大家可以参考的例子滤波源码，程序非常好用，能里脊肉粒子滤波的基础
mcmc1
- 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。
mcmc2
- 这是Southampton大学的关于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。
mcmc3
- 这是Calgary大学的关于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。
particle filter mcmc
- 针对无线传感器网络的节点的追踪算法matlab仿真。
mcmc
- 马尔科夫链蒙特卡洛模拟的matlab源代码
头部定位
- Segmentingindividualhumansinahigh-densityscene(e.g.,acrowd)acquiredfromastaticcameraischallengingmainly duetoobjectinter-occlusion(Fig.1).We dene this proble mas a“model-asedsegmentation”problemandthesolutionisob- tainedusingaMarkovchainMonteCarlo
马尔科夫链蒙特卡洛MCMC
- 马尔科夫链蒙特卡洛模拟的matlab源代码
MCMC_demo
- MCMC的例子
Geophysical-inversion-for-matlab-toolbox
- 适用于地球物理反演的matlab工具箱，可以以此工具箱进行相应的反演分析-Geophysical inversion for matlab toolbox, this kit can make the appropriate back analysis
MCMC3
- 介绍相关向量回归的MCMC理论,并且给出了其丰富的应用背景,最后将实验结果与一般算法进行比较,这篇文章是一个很好的范例-Introduce the relevant vector regression MCMC theory, and application is given its rich background, and finally experimental results are compared with the general algorithm, this article is
PF_EPF_UPFduibifangzhendaima
- PF,EPF,UPF的对比仿真代码，可以很直观的看出各种算法之间的差别及各自的优缺点。可直接运行。-PF, EPF, UPF contrast simulation code, it is intuitive to see the differences between the various algorithms and their respective advantages and disadvantages. Can be directly run.
particle
- 用于粒子滤波的，讲解详细！初学者可以很容易地看懂！-For the particle filter, and explain in detail! Beginners can easily understand!
gibbs.met_1.1-3.tar
- 马尔可夫链蒙特卡洛算法，由R语言实现，是在Gibbs采样中每步利用Metropolis采样。程序非常清晰，是理解MCMC的好东西-Naive Gibbs Sampling with Metropolis Steps
ldys
- mcMC连线缓动演示-mcMC connection slow moving demo! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !
tswcs
- 基于小波基的树结构的贝叶斯方法，采用MCMC推断方法。-Tree structure of wavelet-based Bayesian methods using MCMC inference method.