Questions tagged [gmm]

For questions about Gaussian mixture models (GMMs).

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Why Gaussian mixture model uses Expectation maximization instead of Gradient descent?

Why Gaussian mixture model uses Expectation maximization instead of Gradient descent? What other models uses Expectation maximization to find best optimal parameters instead of using gradient descent?
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0answers
6 views

what are Latent model and Latent Varibles?

what are latent models and why they use Expectation maximization instead of gradient descent to optmize the parameters ? How to interpret and understand whether a hidden varible is present in model or ...
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0answers
8 views

what kind of distribution is followed by word and sentence vectors generated by TFIDF ,word2vec,glove,bert,flair?

what kind of distribution is followed by word or sentence embedding vectors generated by TFID or pretrained models like word2vec,glove,bert,flair ? is it continuous or discrete or any other ...
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26 views

Gaussian mixture models: find correct prior

This task might be pretty simple to the most of you. However, I am struggling to calculate the PDF for the Gaussian distributions. Help is very much appreciated!
1
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1answer
41 views

Gaussian Mixture Models Clustering

When using the EM algorithm in Gaussian Mixture Models (GMM), in the E-step, we take each x set in the training dataset to calculate and update the "weight" and parameters of each Gaussian ...
2
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1answer
56 views

Which algorithm or tool to use to classify as good or bad?

I have a feature vector with different data types, Considering all the data in that feature vector. I have to classify as Good or Bad. Which algorithm should be used to just get the output Good or ...