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### Motivation
Some problems, such as those featuring heat pipes, involve the presence of multiple gases in the same space.
### Design
This includes:
- New single-phase flow model in THM to supp…
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This issue is related to both PDSim and Coolprop.
I am trying to model mixtures (R454B.mix) using existing PDSim scroll core class. I am getting some errors like "DHSU_T_flash does not exist" or ne…
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Hi,
Thank you a lot for your grandR tool, the application is very useful.
However, I have trouble running with SlamDunk results. There seems to be no function to load the SlamDunk results as input…
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Hello Tobias,
## Summary
I wanted to propose a new Alleyoop that I would eventually incorporate into a pull request, if you approve of the addition. The idea is for it to take the output of `all…
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The current version uses `fslmaths` for a number of steps that could very easily be done with `nilearn` or `nibabel` + `numpy`.
The only difficult part that I can think of is handling MELODIC's mix…
tsalo updated
2 years ago
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- [x] Inverse-distance weighting
- [ ] Regularized minimal-energy tensor-product splines
- [x] Second-order polynomial approximation
- [ ] KPLS
- [ ] KPLSK
- [x] GEKPLS
- [ ] GENN
- [x] Mixture…
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The normal assumption can be tested with the newly collected data points. With a sample size of 30, you would not have much power. You could test goodness of fit of skewed distributions such as gamma …
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Andrew suggested something to make mixture modeling easier. I'm not sure what he's thinking in terms of syntax, but maybe something like a distribution like this:
```
y ~ finite_mixture(lambda, …
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MCLUST (http://www.stat.washington.edu/mclust/) is the standard package for mixture modeling in the stats world. essentially, it is doing model based clustering as described in Fraley and Raftery, 200…
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**Describe the question(问题描述)**
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts
In the MOE method does expert have to learn and can the frozen model be us…