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hello,i would to know when a new speaker (not in data) ,how can deal with this state ,i read about this in paper (Speaker Verification Using Adapted Gaussian Mixture Models) to get final UBM combie I…
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There are various ways this could be done:
* purely from samples. pros: model agnostic, cons: high variance, need to use a kernel method
* using mixture of gaussians: pros: lower variance, cons: ver…
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### References
- http://ruishu.io/2016/12/25/gmvae/
- http://nbviewer.jupyter.org/github/RuiShu/vae-clustering/blob/master/experiments.ipynb
- https://github.com/dpkingma/nips14-ssl
### Citations
- D…
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Some features of an object/action may vary within some range. Apples can be red or green, for example. Bananas can be yellow, but [apparently](https://en.wikipedia.org/wiki/Red_banana) they can also b…
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**Describe the bug**
Silhouette score and its visualization can be calculated for Gaussian Mixture Model outputs, while this library currently does not support this.
**To Reproduce**
I used the…
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The repository contains a `bayes_snapper.npy` that apparently contains a bayesian model to rate satellite quality. Unfortunately the model seems to have been generated with an outdated scikit version …
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I'm frustrated that K-means clustering is the only clustering method available. A hard clustering approach like this really limits the applications of a clustering model for use cases like anomaly det…
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Hello, I am trying to write a simple gaussian mixture model using tfp. Basically I want to implement
an MDN with tensorflow probability, but i have a mistake
`from keras.models import Sequent…
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In multivariate brms models, the correlation structure between the residuals of the response variables is currently (i) estimated using `rescor = TRUE` or (ii) fully zeroed out using `rescor = FALSE`.…