The Content Classification via Bayesian Model in Meteorological Teaching
Guanlei Xu, Limin Shao, Yonglu Liu, Fengwang Lang
Available Online December 2016.
- https://doi.org/10.2991/seiem-16.2016.3How to use a DOI?
- Meteorological content classification, Meteorological teaching, Bayesian classification
- In meteorological teaching, in order to improve the teaching efficiency, the content classification is of much signification. After content classification, the teachers can give the detailed and better teaching plans to the students. On the other hand, these classified content can be employed for the students selection of excellent ones. In this paper, we proposed a Baysian model based meteorological content classification. We classify the meteorological content into three classes. And through the experimental comparison with the students', our method is efficient for the meteorological content automatical classification.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Guanlei Xu AU - Limin Shao AU - Yonglu Liu AU - Fengwang Lang PY - 2016/12 DA - 2016/12 TI - The Content Classification via Bayesian Model in Meteorological Teaching BT - 2016 International Seminar on Education Innovation and Economic Management (SEIEM 2016) PB - Atlantis Press SN - 2352-5398 UR - https://doi.org/10.2991/seiem-16.2016.3 DO - https://doi.org/10.2991/seiem-16.2016.3 ID - Xu2016/12 ER -