Consistency and Generalization Bounds for Maximum Entropy Density Estimation
We investigate the statistical properties of maximum entropy density estimation, both for the complete data case and the incomplete data case. We show that under certain assumptions, the generalization error can be bounded in terms of the complexity of the underlying feature functions. This allows u...
| Main Authors: | Shaojun Wang, Russell Greiner, Shaomin Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2013-12-01
|
| Series: | Entropy |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1099-4300/15/12/5439 |
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