To reduce the estimation error introduced by insufficient training data, the parameters of probabilistic models are usually smoothed by different techniques, such as Good-Turing smoothing and back-off smoothing. However, the discriminative power of the model cannot be significantly enhanced simply w
β¦ LIBER β¦
The effects of training parameters on learning a probabilistic expert system for mammography
β Scribed by Yue Pan; Elizabeth S Burnside
- Book ID
- 116536660
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 111 KB
- Volume
- 1268
- Category
- Article
- ISSN
- 0531-5131
No coin nor oath required. For personal study only.
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