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## Search the dblp DataBase
Xia Hong:
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## Publications of Author- Sheng Chen, Xia Hong, Chris J. Harris
**Orthogonal Forward Selection for Constructing the Radial Basis Function Network with Tunable Nodes.**[Citation Graph (0, 0)][DBLP] ICIC (1), 2005, pp:777-786 [Conf] - X. Hong, S. Chen, C. J. Harris
**Fast Kernel Classifier Construction Using Orthogonal Forward Selection to Minimise Leave-One-Out Misclassification Rate.**[Citation Graph (0, 0)][DBLP] ICIC (1), 2006, pp:106-114 [Conf] - Sheng Chen, Xia Hong, Chris J. Harris
**Kernel Density Construction Using Orthogonal Forward Regression.**[Citation Graph (0, 0)][DBLP] IDEAL, 2004, pp:586-592 [Conf] - Xia Hong, Chris J. Harris
**A Mixture of Experts Network Structure Construction Algorithm for Modelling and Control.**[Citation Graph (0, 0)][DBLP] Appl. Intell., 2002, v:16, n:1, pp:59-69 [Journal] - Xia Hong, Chris J. Harris, Martin Brown, Sheng Chen
**Backward Elimination Methods for Associative Memory Network Pruning.**[Citation Graph (0, 0)][DBLP] Int. J. Hybrid Intell. Syst., 2004, v:1, n:2, pp:90-98 [Journal] - Xia Hong, Sheng Chen, Paul M. Sharkey
**Automatic Kernel Regression Modelling Using Combined Leave-One-Out Test Score and Regularised Orthogonal Least Squares.**[Citation Graph (0, 0)][DBLP] Int. J. Neural Syst., 2004, v:14, n:1, pp:27-37 [Journal] - Stephen A. Billings, Xia Hong
**Dual-orthogonal radial basis function networks for nonlinear time series prediction.**[Citation Graph (0, 0)][DBLP] Neural Networks, 1998, v:11, n:3, pp:479-493 [Journal] - Sheng Chen, Xia Hong, Chris J. Harris
**Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization.**[Citation Graph (0, 0)][DBLP] IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2004, v:34, n:4, pp:1708-1717 [Journal] - Sheng Chen, Xia Hong, Chris J. Harris, Paul M. Sharkey
**Sparse modeling using orthogonal forward regression with PRESS statistic and regularization.**[Citation Graph (0, 0)][DBLP] IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2004, v:34, n:2, pp:898-911 [Journal] - Xia Hong, Sheng Chen
**M-estimator and D-optimality model construction using orthogonal forward regression.**[Citation Graph (0, 0)][DBLP] IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2005, v:35, n:1, pp:155-162 [Journal] - Xia Hong, Chris J. Harris, Sheng Chen, Paul M. Sharkey
**Robust nonlinear model identification methods using forward regression.**[Citation Graph (0, 0)][DBLP] IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2003, v:33, n:4, pp:514-523 [Journal] - Ning Zong, Xia Hong
**On improvement of classification accuracy for stochastic discrimination.**[Citation Graph (0, 0)][DBLP] IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2005, v:35, n:1, pp:142-149 [Journal] - Ning Zong, Xia Hong
**A Forward Constrained Selection Algorithm for Probabilistic Neural Network.**[Citation Graph (0, 0)][DBLP] ISNN (2), 2007, pp:699-704 [Conf] - Ning Zong, Xia Hong
**A Multi-Level Probabilistic Neural Network.**[Citation Graph (0, 0)][DBLP] ISNN (2), 2007, pp:516-525 [Conf] **A New Algorithm for OFDM Joint Data Detection and Phase Noise Cancellation.**[Citation Graph (, )][DBLP]**A Sparse Kernel Density Estimation Algorithm Using Forward Constrained Regression.**[Citation Graph (, )][DBLP]**Sparse Kernel Modelling: A Unified Approach.**[Citation Graph (, )][DBLP]**Probability Density Function Estimation Using Orthogonal Forward Regression.**[Citation Graph (, )][DBLP]**Construction of RBF Classifiers with Tunable Units using Orthogonal Forward Selection Based on Leave-One-Out Misclassification Rate.**[Citation Graph (, )][DBLP]**Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design.**[Citation Graph (, )][DBLP]**Fully complex-valued radial basis function networks for orthogonal least squares regression.**[Citation Graph (, )][DBLP]**The Realization and Optimization of Secure Hash Algorithm (SHA-1) Based on LEON2 Coprocessor.**[Citation Graph (, )][DBLP]**A tunable radial basis function model for nonlinear system identification using particle swarm optimisation.**[Citation Graph (, )][DBLP]
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