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| Title | A Note on Learning of Probabilistic Hypotheses from Membership Queries (in Japanese) |
|---|---|
| Authors | Yoshifumi Ukita 、Toshiyasu Matsushima 、Shigeichi Hirasawa |
| Released Year | 1998 |
| Format | International Conference |
| Category | Knowledge information processing |
| Jounal Name | Proceedings of International Symposium on Information Theory and Its Applications (Mexico) |
| Jounal Page | pp.604-607, Mexico City, Mexico |
| Published Year | 1998 |
| Published Month | 10 |
| Abstract （English） |
In this paper, we propose a dynamic programming approach to the design of optimal query strategy when the costs of queries are considerable and a hypothesis is probabilistic. Then, the storage requeired for the dynamic programming is very large, we have reduced the storage by assuming independence of samples. Lastly, we show the comparison between the query strategy got by the proposed algorithm and nonsequential query strategy by computer simulated experiments. |
| Note （English） |
1 |
| Manuscript | |
| Presentation |
