@inproceedings{d7d0055bdee34f4baef7be00e16d6e98,
title = "Simulation analysis of distance-aware graph-based semi-supervised learning",
abstract = "According to the problem of agglomeration effect of Graph-based Semi-Supervised Learning (G-SSL), this paper studies a Distance-aware Graph-based Semi-supervised Learning (DG-SSL) algorithm, which reduces the agglomeration effect of G-SSL, and holds smaller average estimation error. When compared with the K nearest neighbors (KNN) algorithm, moreover, the DG-SS algorithm can achieve better positioning result by using a small number of labeled samples. Simulation results show that the DG-SSL algorithm effectively resolve the problem of requiring enough labeled samples for Radio Map setup in indoor positioning algorithm. Thus, it reduces the workload and expenditure of establishing the Radio Map.",
keywords = "Distance-aware, Radio Map, Semi-supervised, WLAN Indoor Positioning",
author = "Yanyun Fan and Lin Ma and Yubin Xu and Yang Cui",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 5th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2015 ; Conference date: 14-05-2015 Through 16-05-2015",
year = "2015",
month = sep,
day = "29",
doi = "10.1109/ICEIEC.2015.7284486",
language = "英语",
series = "ICEIEC 2015 - Proceedings of 2015 IEEE 5th International Conference on Electronics Information and Emergency Communication",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "55--58",
editor = "Vincent Tam and Zhu Wei and Li Wenzheng",
booktitle = "ICEIEC 2015 - Proceedings of 2015 IEEE 5th International Conference on Electronics Information and Emergency Communication",
address = "美国",
}