Faul A C, Tipping M E.Analysis of sparse Bayesian learning[C]//Advances in Neural Information Processing Systems (NIPS 14) .Vancouver:NIPS, 2002:383-389
[2]
董景新.惯性仪表——微机械加速度计[M].北京:清华大学出版社, 2002:1-5 Dong Jingxin.Micro inertial instrument:micromechanical accelerometer[M].Beijing:Tsinghua University Press, 2002:1-5 (in Chinese)
[3]
Wong P K, Xu Q, Vong C M, et al.Rate-dependent hysteresis modeling and control of a piezostage using online support vector machine and relevance vector machine[J].Industrial Electronics, IEEE Transactions on, 2012, 59 (4):1988-2001
[4]
张鹏飞, 王宇, 龙兴武, 等.加速度计温度补偿模型的研究[J].传感技术学报, 2007, 20 (5):1012-1016 Zhang Pengfei, Wang Yu, Long Xingwu, et al.Research on temperature compensating model for accelerometer[J].Chinese Journal of Sensors and Actrator, 2007, 20 (5):1012-1016 (in Chinese)
[5]
王立昆, 杨新锋.一种基于RVM回归的分类方法[J].电子科技, 2011, 24 (5):14-16 Wang Likun, Yang Xinfeng.A classification method based on RVM regression[J].Electronic Science and Technology, 2011, 24 (5):14-16 (in Chinese)
[6]
Ding Errui, Zeng Ping, Yao Yong.A novel regressive algorithm based on relevance vector machine[C]//Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) .Piscataway, NJ:IEEE, 2007:463-467
[7]
Wong P K, Wong H C, Vong C M.Modelling and prediction of automotive engine airratio using relevance vector machine[C]//2012 12th International Conference on Control Automation Robotics & Vision (ICARCV) .Piscataway, NJ:IEEE, 2012:1710-1715
[8]
陈佳, 颜学峰, 钟伟民, 等.基于多项式核rvm的非线性模型预测控制[J].控制工程, 2008, 15 (2):158-160 Chen Jia, Yan Xuefeng, Zhong Weimin, et al.Nonlinear model predictive control based on RVM with polynomial kernel[J].Control Engineering of China, 2008, 15 (2):158-160 (in Chinese)
[9]
Liu F, Song H, Qi Q, et al.Time series regression based on relevance vector learning mechanism[C]//2008 International Conference on Wireless Communications, Networking and Mobile Computing.Piscataway, NJ:IEEE Computer Society, 2008:1-4
[10]
Yang B, Zhang Z, Sun Z.Robust relevance vector regression with trimmed likelihood function[J].Signal Processing Letters, IEEE, 2007, 14 (10):746-749
[11]
Tipping M E.Sparse Bayesian learning and the vector machine[J].The Journal of Machine Learning Research, 2001, 1 (3):211-244
[12]
Yuan J, Bo L, Wang K, et al.Adaptive spherical Gaussian kernel in sparse Bayesian learning framework for nonlinear regression[J].Expert Systems with Applications, 2009, 36 (2):3982-3989
[13]
Faul A C, Tipping M E.Analysis of sparse Bayesian learning[C]//Advances in Neural Information Processing Systems (NIPS 14) .Vancouver:NIPS, 2002:383-389
[14]
Wong P K, Xu Q, Vong C M, et al.Rate-dependent hysteresis modeling and control of a piezostage using online support vector machine and relevance vector machine[J].Industrial Electronics, IEEE Transactions on, 2012, 59 (4):1988-2001
[15]
Ding Errui, Zeng Ping, Yao Yong.A novel regressive algorithm based on relevance vector machine[C]//Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) .Piscataway, NJ:IEEE, 2007:463-467
[16]
Wong P K, Wong H C, Vong C M.Modelling and prediction of automotive engine airratio using relevance vector machine[C]//2012 12th International Conference on Control Automation Robotics & Vision (ICARCV) .Piscataway, NJ:IEEE, 2012:1710-1715
[17]
Liu F, Song H, Qi Q, et al.Time series regression based on relevance vector learning mechanism[C]//2008 International Conference on Wireless Communications, Networking and Mobile Computing.Piscataway, NJ:IEEE Computer Society, 2008:1-4
[18]
Yang B, Zhang Z, Sun Z.Robust relevance vector regression with trimmed likelihood function[J].Signal Processing Letters, IEEE, 2007, 14 (10):746-749
[19]
Yuan J, Bo L, Wang K, et al.Adaptive spherical Gaussian kernel in sparse Bayesian learning framework for nonlinear regression[J].Expert Systems with Applications, 2009, 36 (2):3982-3989
