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| Title | A Note on Spelling Correction Methods based upon Statistical Decision Theory (in Japanese) |
|---|---|
| Authors | Yasunari MAEDA 、Hideki YOSHIDA 、Yoshitaka FUJIWARA 、Toshiyasu MATSUSHIMA |
| Released Year | 2006 |
| Format | International Conference |
| Category | Knowledge information processing |
| Jounal Name | Proceedings of The 2006 International Symposium on Information Theory and Its Applications |
| Jounal Page | pp.880-885, Seoul, Korea |
| Published Year | 2006 |
| Published Month | 10 |
| Abstract （English） |
In this research we propose Bayes optimal spelling correction methods which minimize error rates with reference to a Bayes criterion. And we also propose approximate methods using predictive distributions calculated by using posterior density. |
| Note （English） |
1 |
| Manuscript | |
| Presentation |
Involved Papers
- Bayesian Forecasting of WWW Traffic on the Time Varying Poisson Model
- A Bayes Prediction Algorithm for Regression models with Outliers (in Japanese)
- Asymptotic Property on Nonstationary Sources with Piecewise Constant Parameters (in Japanese)
- Asymptotic Property of Universal Lossless Coding for Independent Piecewise Identically Distributed Sources
- A Bayes Prediction Algorithm for Regression models with Outliers (in Japanese)
- A Note on Morphological Analysis Methods based on Statistical Decision Theory
- A note on estimation of states in HMM with unknown parameters (in Japanese)
- A Note on Morphological Analysis with Misspellings (in Japanese)
- A Note on Selective - Repeat ARQ with Unknown Block - Error Rate (in Japanese)
- A Note on Multi-topic Document Classification Method Based upon Statistical Decision Theory (in Japanese)
