Murat Can Ganiz. Semi-supervised learning using higher-order co-occurrence paths to overcome the complexity of data representation. In 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016, Budapest, Hungary, October 9-12, 2016. pages 2242-2247, IEEE, 2016. [doi]
@inproceedings{Ganiz16,
title = {Semi-supervised learning using higher-order co-occurrence paths to overcome the complexity of data representation},
author = {Murat Can Ganiz},
year = {2016},
doi = {10.1109/SMC.2016.7844572},
url = {http://dx.doi.org/10.1109/SMC.2016.7844572},
researchr = {https://researchr.org/publication/Ganiz16},
cites = {0},
citedby = {0},
pages = {2242-2247},
booktitle = {2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016, Budapest, Hungary, October 9-12, 2016},
publisher = {IEEE},
isbn = {978-1-5090-1897-0},
}