Gaussian Mixture Models Fitting Task

A Gaussian Mixture Models Fitting Task is a Mixture Models Fitting Task that produces a (fitted) Gaussian Mixture Model.

• See: Mixture Model.

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References

2015

• (Vilnis & McCallum, 2015) ⇒ Luke Vilnis, and Andrew McCallum. (2015). “Word Representations via Gaussian Embedding.” In: arXiv preprint arXiv:1412.6623 submitted to ICRL 2015.
  • QUOTE: Fitting Gaussian mixture models on embeddings has been done in order to apply Fisher kernels to entire documents (Clinchant & Perronnin, 2013b; a). Preliminary concurrent work from Kiyoshiyo et al. (2014) describes a significantly different model similar to Bayesian matrix factorization, using a probabilistic Gaussian graphical model to define a distribution over pairs of words, and they lack quantitative experiments or evaluation.

2009

• (Reynolds, 2009) ⇒ Douglas Reynolds. (2009). “Gaussian Mixture Models.” In: Encyclopedia of Biometrics.

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