- [Home]
- [Research achievement]
- [Research achievement detail]
Title | A Note on the Prediction Algorithm when Orthogonal Design is used for Query Learning (in Japanese) |
---|---|
Authors | Yoshifumi Ukita 、Daiki Koizumi 、Toshiyasu Matsushima 、Shigeichi Hirasawa |
Released Year | 2004 |
Format | Conference |
Category | Knowledge information processing |
Jounal Name | |
Jounal Page | SIG-FPAI-A402-12, pp.25-32 |
Published Year | 2004 |
Published Month | 11 |
Abstract (English) |
We deal with a problem to predict the output of true Boolean function by learning from queries. If the posterior probability can be found about all Boolean functions, the optimal prediction would be determined from the point of view of Bayes decision theory. However, it is difficult to calculate such optimal prediction in practice especially in terms of the computational complexity. Therefore, we propose an approximate algorithm to take only Boolean functions such that their prior probabilities are relatively higher. In this paper, we shall show that such Boolean functions can be found efficiently when the orthogonal design is used for query learning as well as certain condition about the prior probability distribution of their functions is satisfied. |
Note (English) |
1 |
Manuscript | |
Presentation |