发文时间:2020-05-03 撰稿人:

[1] Zhijie Xu, Zhiquan Qi, et al, Learning with positive and unlabeled examples using biased twin support vector machine,Neural Computing & Applications,2014, 25(6):1303~1311.

[2] Guo, X., Xu, Z., Zhang, J., Lu, J. and Zhang, H., An OD Flow Clustering Method Based on Vector Constraints: A Case Study for Beijing Taxi Origin-Destination Data. ISPRS International Journal of Geo-Information, 2020,9(2), p.128.

[3] 王胜开,徐志洁,张健钦,等.逆向热力图的绘制方法.地球信息科学学报, 2018, 20(4):515-522.

[4] Xu Z, Zhang J, Wang H. Twin Minimax Probability Machine for Handwritten Digit Recognition. International Journal of Hybrid Information Technology. 2015;8(2):31-40.

[5] Zhijie Xu,Jianqin Zhang,et al,Locally Linear Embedding by Linear Programming,Procedia Engineering,2011,15:3041~3045

[6] 徐志洁,一种处理多类分类问题的强化支持向量机方法,计算机工程与应用,2009.9.11,(26):176~178

[7] Xu Z, Zhang J, Xu Z, Chen Z. Handwritten Numeral Recognition Using Support Vector Machine with Bias. In 2011 International Conference in Electrics, Communication and Automatic Control Proceedings 2012 (pp. 1069-1075). Springer, New York, NY.

访问量: 开通时间 :2020-05-03 最后更新时间 :2020-05-03