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Please could you tell me the features used to train the average perceptron model to parse the OSM addresses
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The current inputs for ``analysis_method.algorithms.name`` and ``analysis_method.algorithms.subname`` are not consistent enough to be usable for meta-analysis.
A sample of ``analysis_method.algorit…
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#### Version
09:46 ~/team-svn opam --version
2.0.0
#### Operating system
09:43 ~/team-svn uname -a
Linux 6600Fred 4.15.0-36-generic #39-Ubuntu SMP Mon Sep 24 16:19:09 UTC 2018 x86_6…
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In recent times, Machine Learning (ML) based algorithms have been able to achieve
very promising results on many pattern recognition tasks, such as speech, handwriting,
activity and gesture recogn…
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Dear Emery,
It seems that in the case of Sotirios Chatzis ( http://dblp.uni-trier.de/pers/hd/c/Chatzis:Sotirios ), alias resolution did not work as expected. It may have to do with the fact that, d…
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Dice, shuffling etc. all require randomness, but having impure reducers (using `Math.random()`, for example) breaks the ability to view earlier game states (and is an anti-pattern in Redux). We should…
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From Dave Robinson's Stochastic Processes in R:
# Stochastic Processes in R
## Step 1: Brainstorming
1. What problem(s) will student learn how to solve?
* They'll learn the generative mode…
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Hey,
When I am running a forward pass with your HSCRF module, I am getting a Loss formatted like below.
In your training code, you use it like this: `epoch_loss += utils.to_scalar(loss)` (here: …
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dear authors, thanks for this package. I am wondering if Markov random field can be implemented using zhusuan, is so, do you have a tutorial for me to go through? thank you.
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[论文地址](https://arxiv.org/pdf/1603.03101v1.pdf)