Expectation-maximization algorithms for inference in Dirichlet processes mixture
Mixture models are ubiquitous in applied science. In many real-world applications, the number of mixture components needs to be estimated from the data. A popular approach consists of using information criteria to perform model selection. Another approach which has become very popular over the past...
| Main Authors: | , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2013
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