Modeling High-Dimensional Data.
The article discusses modeling high-dimensional data, discussing the use of Gaussian distributions. The article discusses how Gaussian distributions are estimated using the covariance matrix of data and examines an article in the issue by Kalai, Moitra, and Valiant in which they discuss how to solve...
| Publicado en: | Communications of the ACM Vol. 55; no. 2; pp. 112 - 113 |
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| Autor principal: | |
| Formato: | Opinion |
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Association for Computing Machinery
Feb2012
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | The article discusses modeling high-dimensional data, discussing the use of Gaussian distributions. The article discusses how Gaussian distributions are estimated using the covariance matrix of data and examines an article in the issue by Kalai, Moitra, and Valiant in which they discuss how to solve a mixture with two arbitrary multidimensional Gaussians. The author argues that the paper uses an ingenious reduction to solve the problem. |
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