Granular multiple birth support vector machine based on weighted linear loss - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Shifei Ding, Xiekai Zhang. Granular multiple birth support vector machine based on weighted linear loss. In 2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, BC, Canada, July 24-29, 2016. pages 2453-2459, IEEE, 2016. [doi]

The following publications are possibly variants of this publication:

Weighted linear loss multiple birth support vector machine based on information granulation for multi-class classificationShifei Ding, Xiekai Zhang, Yuexuan An, Yu Xue. PR, 67:32-46, 2017. [doi]

Multiple Birth Support Vector Machine with Triplet Loss FunctionShi-Fei Ding, Yuexuan An. jise, 35(6):1365-1376, 2019. [doi]

Multiple birth support vector machine based on recurrent neural networksShifei Ding, Yuting Sun, Yuexuan An, Weikuan Jia. apin, 50(7):2280-2292, 2020. [doi]

Weighted Support Vector Machine Based Clustering VectorQilong Zhang, Ganlin Shan, Xiusheng Duan. csse 2008: 819-822 [doi]

Learning with support vector machines for query-by-multiple-examplesDell Zhang, Wee Sun Lee. sigir 2008: 835-836 [doi]

Multiple birth support vector machine for multi-class classificationZhi-Xia Yang, Yuan-Hai Shao, Xiang-Sun Zhang. nca, 22(Supplement-1):153-161, 2013. [doi]

runs on WebDSL