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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 article mentioned about using Gaussian mixture model for computing acoustic likelihoods but not other models, I was wondering what is the advantage of using this model? What is the difference?
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Looking at the tutorials, the ordering looks a bit random. Perhaps we should reorder the tutorials, roughly in order from least to most advanced, to make it easier to understand them? I'd suggest some…
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I made a Gaussian Mixture Model implementation for the two Cheng2020s. If anyone else is interested can make a pull request after I clean up the code a bit.
Not sure about the vanilla models, but w…
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1. Linear regression
- Continuous & categorical predictors
2. Nonlinear regression (plus non-Gaussian residuals)
- Single-subject correctness sigmoids
3. Mixture models
- Model descri…
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#### Describe the workflow you want to enable
Clustering with Gaussian mixture modeling frequently entails choosing the best model parameter such as the number of components and covariance constr…
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I wonder how the mixture is done in MDN at test time (so when we want to dream).
http://blog.otoro.net/2015/11/24/mixture-density-networks-with-tensorflow/ : Here we have an example of a MDN with k…
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### Have you read the Contributing Guidelines on issues?
- [X] I have read the [Contributing Guidelines on issues](https://github.com/ajay-dhangar/algo/blob/main/CONTRIBUTING.md).
### Description
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When I run the Cheng2020 series, I noticed that the Cheng2020Anchor inherit from JointAutoregressiveHierarchicalPriors.
While the ｀gaussian_conditional｀ model in ｀JointAutoregressiveHierarchicalPrio…
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I'm trying to implement a mixture of Bernoulli distributions and am running into trouble adapting the mixture of Gaussians example. I've included a minimum working example below to illustrate the prob…
nfoti updated
7 years ago