Bin Gu
Title
Cited by
Cited by
Year
Incremental support vector learning for ordinal regression
B Gu, VS Sheng, KY Tay, W Romano, S Li
IEEE Transactions on Neural networks and learning systems 26 (7), 1403-1416, 2014
6822014
A Robust Regularization Path Algorithm for -Support Vector Classification
B Gu, VS Sheng
IEEE Transactions on neural networks and learning systems 28 (5), 1241-1248, 2016
4732016
Incremental learning for ν-support vector regression
B Gu, VS Sheng, Z Wang, D Ho, S Osman, S Li
Neural networks 67, 140-150, 2015
4232015
Structural minimax probability machine
B Gu, X Sun, VS Sheng
IEEE Transactions on Neural Networks and Learning Systems 28 (7), 1646-1656, 2016
3412016
Bi-parameter space partition for cost-sensitive SVM
B Gu, VS Sheng, S Li
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
562015
Direct estimation of cardiac biventricular volumes with an adapted bayesian formulation
Z Wang, MB Salah, B Gu, A Islam, A Goela, S Li
IEEE Transactions on Biomedical Engineering 61 (4), 1251-1260, 2014
552014
Feasibility and Finite Convergence Analysis for Accurate On-Line-Support Vector Machine
B Gu, VS Sheng
IEEE Transactions on Neural Networks and Learning Systems 24 (8), 1304-1315, 2013
452013
Cross validation through two-dimensional solution surface for cost-sensitive SVM
B Gu, VS Sheng, KY Tay, W Romano, S Li
IEEE transactions on pattern analysis and machine intelligence 39 (6), 1103-1121, 2016
302016
Decoupled parallel backpropagation with convergence guarantee
Z Huo, B Gu, Q Yang, H Huang
arXiv preprint arXiv:1804.10574, 2018
272018
Training neural networks using features replay
Z Huo, B Gu, H Huang
Advances in Neural Information Processing Systems, 6659-6668, 2018
252018
Forecasting Warning Level of Flight Delays Based on Incremental Ranking Support Vector Machine
T Xu, JL Ding, B Gu, JD Wang
Acta Aeronautica et Astronautica Sinica 30 (7), 1256-1263, 2009
25*2009
Chunk incremental learning for cost-sensitive hinge loss support vector machine
B Gu, X Quan, Y Gu, VS Sheng, G Zheng
Pattern Recognition 83, 196-208, 2018
242018
Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines
B Gu, Z Huo, C Deng, H Huang
International Conference on Machine Learning, 2018
24*2018
Cost-sensitive learning for defect escalation
VS Sheng, B Gu, W Fang, J Wu
Knowledge-Based Systems 66, 146-155, 2014
242014
Analysis for Incremental and Decremental Standard Support Vector Machine
B Gu, GS Zheng, JD Wang
Journal of Software, 2013
24*2013
Accelerated method for stochastic composition optimization with nonsmooth regularization
Z Huo, B Gu, J Liu, H Huang
arXiv preprint arXiv:1711.03937, 2017
212017
Accurate on-line ν-support vector learning
B Gu, JD Wang, YC Yu, GS Zheng, YF Huang, T Xu
Neural Networks 27, 51-59, 2012
212012
Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization
B Gu, D Wang, Z Huo, H Huang
The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 3093 …, 2018
182018
Asynchronous doubly stochastic sparse kernel learning
B Gu, M Xin, Z Huo, H Huang
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
172018
Regularization Path for-Support Vector Classification
B Gu, JD Wang, GS Zheng, YC Yu
IEEE transactions on neural networks and learning systems 23 (5), 800-811, 2012
162012
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Articles 1–20