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Publication search results
found 25 matches
- 2019
- Yang Li, Hao Yang, Baiying Lei, Jingyu Liu, Chong-Yaw Wee:
Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification. IEEE Trans. Medical Imaging 38(5): 1227-1239 (2019) - 2018
- Yang Li, Wei-Gang Cui, Yuzhu Guo, Tingwen Huang, Xiao-Feng Yang, Hua-Liang Wei:
Time-Varying System Identification Using an Ultra-Orthogonal Forward Regression and Multiwavelet Basis Functions With Applications to EEG. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2960-2972 (2018) - 2017
- Xia Hong, Sheng Chen, Yi Guo, Junbin Gao:
l1-norm penalised orthogonal forward regression. Int. J. Syst. Sci. 48(10): 2195-2201 (2017) - 2016
- Yuzhu Guo, Lingzhong Guo, S. A. Billings, Hua-Liang Wei:
Ultra-Orthogonal Forward Regression Algorithms for the Identification of Non-Linear Dynamic Systems. Neurocomputing 173: 715-723 (2016) - Xudong Wang, Lina Wang, Yang Li:
A Novel Time-Frequency Analysis in Nonstationary Signals Based Multiscale Radial Basis Functions and Forward Orthogonal Regression. ICCSIP 2016: 235-244 - 2015
- Yuzhu Guo, Lingzhong Guo, Stephen A. Billings, Hua-Liang Wei:
Identification of nonlinear systems with non-persistent excitation using an iterative forward orthogonal least squares regression algorithm. Int. J. Model. Identif. Control. 23(1): 1-7 (2015) - Xia Hong, Sheng Chen:
Elastic net orthogonal forward regression. Neurocomputing 148: 551-560 (2015) - Yuzhu Guo, Lingzhong Guo, Stephen A. Billings, Hua-Liang Wei:
An iterative orthogonal forward regression algorithm. Int. J. Syst. Sci. 46(5): 776-789 (2015) - Xia Hong, Sheng Chen, Junbin Gao, Chris J. Harris:
Nonlinear Identification Using Orthogonal Forward Regression With Nested Optimal Regularization. IEEE Trans. Cybern. 45(12): 2925-2936 (2015) - Xia Hong, Sheng Chen, Yi Guo, Junbin Gao:
l1-norm Penalized Orthogonal Forward Regression. CoRR abs/1509.01323 (2015) - 2010
- Sheng Chen, Xia Hong, Chris J. Harris:
Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling. IEEE Trans. Evol. Comput. 14(4): 477-499 (2010) - Sheng Chen, Xia Hong, Chris J. Harris:
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression. IEEE Trans. Syst. Man Cybern. Part B 40(4): 1101-1114 (2010) - Sheng Chen, Xia Hong, Chris J. Harris:
Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression. IJCNN 2010: 1-6 - 2008
- Lingzhong Guo, Stephen A. Billings, D. Q. Zhu:
An extended orthogonal forward regression algorithm for system identification using entropy. Int. J. Control 81(4): 690-699 (2008) - Sheng Chen, Xia Hong, Chris J. Harris:
An orthogonal forward regression technique for sparse kernel density estimation. Neurocomputing 71(4-6): 931-943 (2008) - Xia Hong, Sheng Chen, Chris J. Harris:
A-Optimality Orthogonal Forward Regression Algorithm Using Branch and Bound. IEEE Trans. Neural Networks 19(11): 1961-1967 (2008) - 2007
- Lingzhong Guo, Stephen A. Billings:
A modified orthogonal forward regression least-squares algorithm for system modelling from noisy regressors. Int. J. Control 80(3): 340-348 (2007) - Stephen A. Billings, Hua-Liang Wei:
Sparse Model Identification Using a Forward Orthogonal Regression Algorithm Aided by Mutual Information. IEEE Trans. Neural Networks 18(1): 306-310 (2007) - Sheng Chen, Xia Hong, Chris J. Harris:
Probability Density Function Estimation Using Orthogonal Forward Regression. IJCNN 2007: 2492-2497 - 2006
- Xunxian Wang, David Lowe, Sheng Chen, Chris J. Harris:
Parsimonious least squares support vector regression using orthogonal forward selection with the generalised kernel model. Int. J. Model. Identif. Control. 1(4): 245-256 (2006) - Xunxian Wang, Sheng Chen, David Lowe, Chris J. Harris:
Sparse support vector regression based on orthogonal forward selection for the generalised kernel model. Neurocomputing 70(1-3): 462-474 (2006) - 2005
- Xia Hong, Sheng Chen:
M-estimator and D-optimality model construction using orthogonal forward regression. IEEE Trans. Syst. Man Cybern. Part B 35(1): 155-162 (2005) - 2004
- Sheng Chen, Xia Hong, Chris J. Harris:
Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization. IEEE Trans. Syst. Man Cybern. Part B 34(4): 1708-1717 (2004) - Sheng Chen, Xia Hong, Chris J. Harris, Paul M. Sharkey:
Sparse modeling using orthogonal forward regression with PRESS statistic and regularization. IEEE Trans. Syst. Man Cybern. Part B 34(2): 898-911 (2004) - Sheng Chen, Xia Hong, Chris J. Harris:
Kernel Density Construction Using Orthogonal Forward Regression. IDEAL 2004: 586-592
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