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Regularized Parameter Estimation in High-Dimensional Gaussian Mixture Models
Finite gaussian mixture models are widely used in statistics thanks to their great flexibility. However, parameter estimation for gaussian mixture models with high dimensionality can be challenging because of the large number of parameters that need to be estimated. In this letter, we propose a pena...
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| Gepubliceerd in: | Neural Comput |
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| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2011
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5638044/ https://ncbi.nlm.nih.gov/pubmed/21395439 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1162/NECO_a_00128 |
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