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  1. rjMCMCsa

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  2. 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
  3. 所属分类:人工智能/神经网络/遗传算法

    • 发布日期:2008-10-13
    • 文件大小:16.04kb
    • 提供者:徐剑
  1. Cappe-2007-An-Overview-of-Exist

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  2. 这是一篇很好的有关粒子滤波的综述性论文,具有很高的参考价值。-It is now over a decade since the pioneering contribution of Gordon et al. (1993), which is commonly regarded as the first instance of modern sequential Monte Carlo (SMC) approaches. Initially focussed on applicat
  3. 所属分类:AI-NN-PR

    • 发布日期:2017-03-29
    • 文件大小:862.76kb
    • 提供者:xiaochen
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