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Hi,
As far as I noticed, Lstm module in Pytorch initializes hidden state as zero. [In some blog posts](https://r2rt.com/non-zero-initial-states-for-recurrent-neural-networks.html) (also by Hinton),…
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Thanks for good work.but I have a question,why you do not use norm layer in DuRN-US network in haze removal and use bacthnorm in rain steak removal?
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It is better to clearly say that `finetune` mode is the feature to reproduce the original BatchNormalization paper, and is rarely used for other purposes.
Related to #5277
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- I've got examples (in my private files) where `xBalance()` and `balanceTest()` disagree just a little, when I expected them to agree.
Perhaps relatedly, in [master b9dd3ab] I recorded a note (i…
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Might want to check all the file inputs at the very beginning (especially covariate file). It is rather annoying that the program error out after clumping and other procedures.
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Hi，I am confusing about how to use the time and history data. It seems that we should make a model with data of questionnaires k-1 and k-2, but I couldn't find such code implementation. I found you u…
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Are the test10_crop and best_model used for final report results?
qih96 updated
5 years ago
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Dear all,
I have a spatio-temporal data set of 24-year human schistosomiasis prevalence at the village level, and the number of sample village are different in each year (which can be seen as geosta…
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This would run whenever `bootstraps > 0`.
Let \hat{Q} be the minimum criterion value from the sample.
For each bootstrap run, we get a minimum criterion value, call it \hat{Q}_{b}.
Then reject …
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Hi, thanks for your sharing.
However, while I run `exmaple.m` with method `aclfr = 'scl';` 20 times, I found SCL did not seem perform well than naive method. Below is the detailed result.
> Erro…