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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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| Izdano u: | Neural Comput |
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| Glavni autori: | , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2011
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| Teme: | |
| Online pristup: | 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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