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| A hybrid text classification approach with low dependency on parameter by integrating K-nearest neighbor and support vector machine Expert Systems with Applications |
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| Fu, J., H. Hu, R. Chen and H. Ren, 2012. A framework based on multi-models and multi-features for sports video semantic analysis. Inform. Technol. J., 11: 1381-1390. CrossRefDirect Link |
| Yi-Bing, L., L. Jing-Chao and K. Jian, 2012. Classifier design algorithms aimed at overlapping characteristics. Inform. Technol. J., 11: 1091-1096. CrossRefDirect Link |
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Web Document Classification using Support Vector Machine 2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC) |
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Latent Topic Text Representation Learning on Statistical Manifolds IEEE Transactions on Neural Networks and Learning Systems Vol. 29, Issue 11, 5643, 2018 |
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How to cite this article
Lam Hong, Lee, Chin Heng, Wan, Tien Fui, Yong and Hui Meian, Kok, 2010. A Review of Nearest Neighbor-Support Vector Machines Hybrid Classification Models. Journal of Applied Sciences, 10: 1841-1858.
DOI: 10.3923/jas.2010.1841.1858
URL: https://scialert.net/abstract/?doi=jas.2010.1841.1858
DOI: 10.3923/jas.2010.1841.1858
URL: https://scialert.net/abstract/?doi=jas.2010.1841.1858