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Article overview
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The Latent Bernoulli-Gauss Model for Data Analysis | Amnon Shashua
; Gabi Pragier
; | Date: |
5 Jul 2010 | Abstract: | We present a new latent-variable model employing a Gaussian mixture
integrated with a feature selection procedure (the Bernoulli part of the model)
which together form a "Latent Bernoulli-Gauss" distribution. The model is
applied to MAP estimation, clustering, feature selection and collaborative
filtering and fares favorably with the state-of-the-art latent-variable models. | Source: | arXiv, 1007.0660 | Services: | Forum | Review | PDF | Favorites |
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