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In the R package flexmix, I can specify a model for the priors, rather than just a vector a numbers. The model can depend on some arbitrary set of associated variables, called concomitant variables.
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working as of 0dc523e however the temporal dynamics of belief change might need to be tweaked. Currently, the ramp object can change from congruent to incongruent at every time point. The change is dr…
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The next script considers the example presented in the unit test [t_MixtureFactory_expert.py](https://github.com/openturns/otmixmod/blob/master/python/test/t_MixtureFactory_expert.py). For an increasi…
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#### Describe the workflow you want to enable
I would like to estimate the differential entropy of a Gaussian Mixture Model (GMM). Knowing the entropy of a model can help in model selection as genera…
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File: https://github.com/pymc-devs/pymc-examples/blob/main/examples/mixture_models/marginalized_gaussian_mixture_model.ipynb
Reviewers:
> The sections below may still be pending. If so, the issue is …
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File: https://github.com/pymc-devs/pymc-examples/blob/main/examples/variational_inference/gaussian-mixture-model-advi.ipynb
Reviewers:
> The sections below may still be pending. If so, the issue is s…
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## Problem
In a Mixture of Experts (MoE) LLM, the gating network outputs a categorical distribution of $n$ values (chosen from $n_{max}$), which is then used to create a convex combination of the $n$…
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### Describe the workflow you want to enable
Is there an intention to implement the Dirichlet Multinomial Mixture Model with EM algorithm?
Dirichlet Multinomial Mixture Model is a popular clusteri…
Jck-R updated
11 months ago
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Allow mixture models to be specified, such as [CAT model](https://megasun.bch.umontreal.ca/People/lartillot/www/old/cat.html) from PhyloBayes.