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Dear Author
Thank you very much for this great work.
I wonder if there is a way to stack together the Deep cox mixtures and Deep survival models?
Would it be possible and a good idea?
Wha…
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_The problem:_ If we implement the mixture model feature, we will probably need to use _flux-calibrated_ model spectra; in other words, the non-normalized spectra natively produced by the model grid (…
gully updated
7 years ago
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Hi Emil,
Package [`ClusteR`](https://cloud.r-project.org/web/packages/ClusterR/vignettes/the_clusterR_package.html) has some other alternatives for k-means:
- Fast implementation: _KMeans_arma_ …
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The extreme deconvolution (ED) paper [here](http://arxiv.org/abs/0905.2979)
now has me wondering whether we can do a more formal
version of what we are doing using factor analysis (or actually mixtur…
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Paul I see that you list general multivariate models as an area for future development in brms. In randomized clinical trials there is a significant need for multivariate modeling of mixtures of univa…
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I wrote the following function to predict the posterior probability of being in the zero-inflation state for the discrete zero-inflated families in `brms`. If of interest, I'll submit a PR with doc +…
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**Is your feature request related to a problem? Please describe.**
I wish I had the ability to launch a cuML model on AWS Lambda. For a mixture of reasons, this isn't possible.
**Describe the solu…
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- [ ] [optillm/README.md at main · codelion/optillm](https://github.com/codelion/optillm/blob/main/README.md?plain=1)
# optillm
optillm is an OpenAI API compatible optimizing inference proxy whi…
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Direct Language Model Alignment from Online AI Feedback
https://arxiv.org/abs/2402.04792
https://www.youtube.com/watch?v=AayZuuDDKP0
https://www.ycombinator.com/rfs
https://openai.com/sora
https:/…
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I think it would be a good idea to add conditional inference trees. From my understanding, they tend to provide better models when using a mixture of categorical and continuous values, or data with ma…