Scikit-learn: GMM MAP adaption2019 Community Moderator ElectionOne-shot learning with scikit-learnR gmm package use for predictionDoes scikit learn include a Naive Bayes classifier with continuous inputs?A progress bar for scikit-learn?How to use GMMs returned by opencv grabcut to calculate possibilities of a pixel belonging to foreground or backgroundGaussianMixture equivalents for GMM functions (sklearn python)How to select the best Baysian GMM with Dirichlet processPreserving cluster order in GMMGMM and MFCC for language identificationdifferent results obtained with GMM
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Scikit-learn: GMM MAP adaption
2019 Community Moderator ElectionOne-shot learning with scikit-learnR gmm package use for predictionDoes scikit learn include a Naive Bayes classifier with continuous inputs?A progress bar for scikit-learn?How to use GMMs returned by opencv grabcut to calculate possibilities of a pixel belonging to foreground or backgroundGaussianMixture equivalents for GMM functions (sklearn python)How to select the best Baysian GMM with Dirichlet processPreserving cluster order in GMMGMM and MFCC for language identificationdifferent results obtained with GMM
Is there a way to adapt a UBM-GMM using MAP/Bayesian adaption? I like the implementation of the GMM class but I cannot find a possibility to adapt a trained GMM.
scikit-learn bayesian gmm
edited Mar 7 at 19:37
desertnaut
19.7k74177
asked Mar 7 at 18:29
embie27embie27
1
add a comment |
Is there a way to adapt a UBM-GMM using MAP/Bayesian adaption? I like the implementation of the GMM class but I cannot find a possibility to adapt a trained GMM.
scikit-learn bayesian gmm
edited Mar 7 at 19:37
desertnaut
19.7k74177
asked Mar 7 at 18:29
embie27embie27
1
The topic sounds rather specialized, so it would help to either describe the procedure or link to an example where someone describes the procedure. Otherwise, you may have trouble finding anyone who can answer this.
– merv
Mar 8 at 16:21
add a comment |
Is there a way to adapt a UBM-GMM using MAP/Bayesian adaption? I like the implementation of the GMM class but I cannot find a possibility to adapt a trained GMM.
scikit-learn bayesian gmm
edited Mar 7 at 19:37
desertnaut
19.7k74177
asked Mar 7 at 18:29
embie27embie27
1
Is there a way to adapt a UBM-GMM using MAP/Bayesian adaption? I like the implementation of the GMM class but I cannot find a possibility to adapt a trained GMM.
scikit-learn bayesian gmm
scikit-learn bayesian gmm
edited Mar 7 at 19:37
desertnaut
19.7k74177
asked Mar 7 at 18:29
embie27embie27
1
edited Mar 7 at 19:37
desertnaut
19.7k74177
asked Mar 7 at 18:29
embie27embie27
1
edited Mar 7 at 19:37
desertnaut
19.7k74177
edited Mar 7 at 19:37
desertnaut
19.7k74177
edited Mar 7 at 19:37
desertnaut
19.7k74177
19.7k74177
asked Mar 7 at 18:29
embie27embie27
1
asked Mar 7 at 18:29
embie27embie27
1
asked Mar 7 at 18:29
embie27embie27
1
1
The topic sounds rather specialized, so it would help to either describe the procedure or link to an example where someone describes the procedure. Otherwise, you may have trouble finding anyone who can answer this.
– merv
Mar 8 at 16:21
add a comment |
The topic sounds rather specialized, so it would help to either describe the procedure or link to an example where someone describes the procedure. Otherwise, you may have trouble finding anyone who can answer this.
– merv
Mar 8 at 16:21
The topic sounds rather specialized, so it would help to either describe the procedure or link to an example where someone describes the procedure. Otherwise, you may have trouble finding anyone who can answer this.
– merv
Mar 8 at 16:21
The topic sounds rather specialized, so it would help to either describe the procedure or link to an example where someone describes the procedure. Otherwise, you may have trouble finding anyone who can answer this.
– merv
Mar 8 at 16:21
add a comment |
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The topic sounds rather specialized, so it would help to either describe the procedure or link to an example where someone describes the procedure. Otherwise, you may have trouble finding anyone who can answer this.
– merv
Mar 8 at 16:21