202 results on '"Xia Hong"'
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2. A Semi-Supervised Clustering Approach Using Nonlinear Canonical Correlation Analysis with t-SNE.
3. Learning a Strategy for Preference Elicitation in Conversational Recommender Systems.
4. Hybrid Dual-Resampling and Cost-Sensitive Classification for Credit Risk Prediction.
5. ThyExp: An explainable AI-assisted Decision Making Toolkit for Thyroid Nodule Diagnosis based on Ultra-sound Images.
6. Modified Probabilistic Neural Networks LBP Classification Based on Distance Measures in Probability Space.
7. Plant Leaf Recognition Using Texture Features and Semi-Supervised Spherical K-means Clustering.
8. Nonlinear Logistic Regression Model Based On Simplex Basis Function.
9. Understanding Structure of Concurrent Actions.
10. Sparse Least Squares Low Rank Kernel Machines.
11. Asynchronous Containment Control of Second-Order Multi-Agent Systems Under Denial-Of-Service Attacks
12. Sparse least squares support vector regression for nonstationary systems.
13. Functional Locality Preserving Projection for Dimensionality Reduction.
14. Hierarchical Clustering Combination Method Using Intuitionistic Fuzzy Similarity in Software Module Clustering
15. A Fast Algorithm to Estimate the Square Root of Probability Density Function.
16. Complex-valued B-spline neural network and its application to iterative frequency-domain decision feedback equalization for Hammerstein communication systems.
17. Manifold optimization for nonnegative coefficient logistic regression.
18. Bipartite Tracking Consensus of Second-Order Sampled-Data Multi-Agent Systems under Switching Topology
19. A constrained recursive least squares algorithm for adaptive combination of multiple models.
20. Sparse density estimation on multinomial manifold combining local component analysis.
21. Low Rank Representation on Riemannian Manifold of Symmetric Positive Definite Matrices.
22. Gaussian Processes Autoencoder for Dimensionality Reduction.
23. Tensor Regression Based on Linked Multiway Parameter Analysis.
24. On-line Gaussian mixture density estimator for adaptive minimum bit-error-rate beamforming receivers.
25. Dimensionality reduction assisted tensor clustering.
26. B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels.
27. Joint multiple dictionary learning for Tensor sparse coding.
28. Sparse model construction using coordinate descent optimization.
29. A fast algorithm for sparse probability density function construction.
30. B-Spline Neural Networks Based PID Controller for Hammerstein Systems.
31. PSO Assisted NURB Neural Network Identification.
32. A neurofuzzy classifier for two class problems.
33. Constrained Grouped Sparsity.
34. Probability density function estimation based over-sampling for imbalanced two-class problems.
35. Modelling and inverting complex-valued wiener systems.
36. Adaptive modelling with tunable RBF network using multi-innovation RLS algorithm assisted by swarm intelligence.
37. A Wiener model for memory high power amplifiers using B-spline function approximation.
38. On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems.
39. B-spline neural network based digital baseband predistorter solution using the inverse of De Boor algorithm.
40. QoS Prediction based on the Low-rank Autoregressive Tensor Completion
41. Sparse kernel density estimation technique based on zero-norm constraint.
42. Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression.
43. A tunable radial basis function model for nonlinear system identification using particle swarm optimisation.
44. A New Algorithm for OFDM Joint Data Detection and Phase Noise Cancellation.
45. The Realization and Optimization of Secure Hash Algorithm (SHA-1) Based on LEON2 Coprocessor.
46. Fully complex-valued radial basis function networks for orthogonal least squares regression.
47. Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design.
48. Sparse Kernel Modelling: A Unified Approach.
49. A Sparse Kernel Density Estimation Algorithm Using Forward Constrained Regression.
50. A Forward Constrained Selection Algorithm for Probabilistic Neural Network.
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