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ex.: http://dev.faustedition.net/document?sigil=2_V_H.13&page=1&view=facsimile_text
just try to read the text at the margin on the right side with the help of TIL
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As part of re-learning JDFTX, I was trying to reproduce some recent literature results with 1.7.0.
Flat bands have a lot of interesting features so I picked this to start,
[`https://www.nature.com…
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Following discussion here http://stats.stackexchange.com/questions/209810/computation-of-the-marginal-likelihood-from-mcmc-samples/210196
see also http://stats.stackexchange.com/questions/44972/wha…
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For `Distribution`s in the exponential family, e.g. `MvNormal` and `GenericMvTDist`, the marginal can be computed simply by dropping the parameters of the marginalised variates ([Wikipedia](https://en…
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Thermodynamic methods provide a way to estimate marginal likelihoods (aka model evidence) using MCMC, serving as an alternative to nested sampling methods.
Some related papers:
1. Friel, Nial, a…
yebai updated
4 years ago
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I am using marginal mode to get a probability distribution of each slice for active learning.As usual,I use mask to preprocess my data.I use zero-mask to make my train set size (train_num,mask_length)…
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The two notebooks are covering exactly the same issue.
They seem short enough that we could use the same dataset and show one after the other. This way we also get a chance to nudge users to try t…
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Hi,
I tried using the DependencyCRF in a learning setting which required me to differentiate through the marginals. This turned out to be really difficult to achieve. I noticed that the gradients …
mbp28 updated
4 years ago
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in uberon we have two distinct classes, one excludes rodents:
```
[Term]
id: UBERON:0005353
name: spleen perifollicular zone
def: "The compartment located between the marginal zone and the red …
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global transforms for printing the feature
> summary(result)
Importance | Feature
##############################| sigmoid(1+1*x5+1*x5)
#########################| x2
##…