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A new method has been cited here for calculating topics using convex optimization- [https://arxiv.org/abs/1710.02952](https://arxiv.org/abs/1710.02952)
The paper shows that the method is slightly b…
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We might want to mention that this is an example of "blocked Gibbs" sampling. I can provide a higher quality version of the image
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最近在学习概率图模型,看到您的博客和代码后感觉受益匪浅.但是在看gibbs-sampling时,对于
> n没有显示的分布信息,但是我们简单将其认为是一个多项分布。
有些不理解,前面不是假设n是均匀分布吗?为什么后面认为是多项分布了?
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Dear all,
I have question about the inference algorithm in Boosted RDN/MLN.
In the papers, "Gradient-based Boosting for Statistical Relational Learning: The Relational Dependency Network Case" a…
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This might be super unusual to get an issue for your blog.
Anyway, your entry about MCMC was great. Very easy to comprehend.
Are there any follow-ups planned? Maybe about Gibbs sampling?
Wuerde mich …
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I've come across what looks like an anomalous difference in performance inverting a positive definite matrix using dpotrf() and dpotri(), on Windows as compared with Linux. This is on a dual-boot Skyl…
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E.g., imagine if you create your own gibbs sampling method, and you have a lot of samples at the end of this.
* How do convert them to `mcmc.list`
* And then calculate diagnostics, etc. etc.
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The basic idea called "Griddy Gibbs" is that one can (approximately) Gibbs-sample from any unnormalized 1-dimensional continuous posterior density by just doing the quadrature.
Somehow this idea ha…
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Hello, I read your code, there are some changes in initialization part comparing with the [collapsed Gibbs Sampling ](https://github.com/lda-project/lda/tree/467f8acba2ac58c6bbd02c751efe23783e24e28c) …
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First, the constructor of the RBM is not working : Normal do not take tuple in argument anymore.
Second : the sampling for gaussian variables is using the bernoulli function for that
Third : the fi…