全部文献期刊学位论文会议报纸专利标准年鉴图书|学者科研项目
中外文文献  中文文献  外文文献
作者:Shifei Ding , Zhibin Zhu , Xiekai Zhang
来源:[J].Neural Computing and Applications(IF 1.168), 2017, Vol.28 (5), pp.969-978Springer
摘要:Support vector machine (SVM) is a machine learning method based on statistical learning theory. It has a lot of advantages, such as solid theoretical foundation, global optimization, the sparsity of the solution, nonlinear and generalization. The standard form of SVM only applies...
作者:... Nan Zhang , Xiekai Zhang , Fulin Wu
来源:[J].Neural Computing and Applications(IF 1.168), 2017, Vol.28 (11), pp.3119-3130Springer
摘要:Twin support vector machine (TWSVM) has gained increasing interest from various research fields recently. In this paper, we aim to report the current state of the theoretical research and practical advances on TWSVM. We first give the basic thought and theory of TWSVM, including ...
作者:Xiekai Zhang , Shifei Ding , Yu Xue
来源:[J].Neurocomputing(IF 1.634), 2017, Vol.225, pp.119-128Elsevier
摘要:Abstract(#br)Multiple birth support vector machine is a novel machine learning algorithm for multi-class classification, which is considered as an extension of twin support vector machine. Compared with training speeds of other multi-class classifiers based on twin support v...
作者:Xiekai Zhang , Fulin Wu
来源:[J].Neurocomputing(IF 1.634), 2017, Vol.225, pp.157-163Elsevier
摘要:Abstract(#br)Twin support vector machine is a machine learning algorithm developing from standard support vector machine. The performance of twin support vector machine is always better than support vector machine on datasets that have cross regions. Recently proposed wavelet twi...
作者:... Jian Zhang , Xiekai Zhang , Yu Xue
来源:[J].Artificial Intelligence Review(IF 1.565), 2019, Vol.52 (2), pp.775-801Springer
摘要:Abstract(#br)Twin support vector machines (TWSVM), a novel machine learning algorithm developing from traditional support vector machines (SVM), is one of the typical nonparallel support vector machines. Since the TWSVM has superiorities of the simple model, the high trainin...
作者:Xiekai Zhang , Yuexuan An
来源:[J].Pattern Recognition(IF 2.632), 2017, Vol.67, pp.32-46Elsevier
摘要:Abstract(#br)Recently proposed weighted linear loss twin support vector machine (WLTSVM) is an efficient algorithm for binary classification. However, the performance of multiple WLTSVM classifier needs improvement since it uses the strategy ‘one-versus-rest’ with high compu...
作者:Xiekai Zhang , Shifei Ding , Tongfeng Sun
来源:[J].International Journal of Machine Learning and Cybernetics, 2016, Vol.7 (2), pp.241-251Springer
摘要:Abstract(#br)Although TWSVM always achieves good performance for data classification, it does not take full advantage of the statistical information of the training data. Recently proposed twin mahalanobis distance-based support vector machine (TMSVM) modifies the standard TWSVM ...
作者:Shifei Ding , Xiekai Zhang , Junzhao Yu
来源:[J].International Journal of Machine Learning and Cybernetics, 2016, Vol.7 (2), pp.193-203Springer
摘要:Abstract(#br)Twin support vector machine (TWSVM), which solves classification problems through constructing two nonparallel planes by solving two related SVM-type problems, has become a hot spot in the field of machine learning. In addition to keeping the advantages of SVM, the c...

我们正在为您处理中,这可能需要一些时间,请稍等。

资源合作:cnki.scholar@cnki.net, +86-10-82896619   意见反馈:scholar@cnki.net

×