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Learning mixture models with the latent maximum entropy principle (2003).
| Content Provider | CiteSeerX |
|---|---|
| Author | Wang, Shaojun Schuurmans, Dale Peng, Fuchun Zhao, Yunxin |
| Abstract | We present a new approach to estimating mixture models based on a new inference principle we have proposed: the latent maximum entropy principle (LME). LME is different both from Jaynes' maximum entropy principle and from standard maximum likelihood estimation. We demonstrate |
| File Format | |
| Publisher Date | 2003-01-01 |
| Access Restriction | Open |
| Subject Keyword | Mixture Model Latent Maximum Entropy Principle Standard Maximum Likelihood Estimation New Inference Principle New Approach Maximum Entropy Principle |
| Content Type | Text |
