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Works by Sheng-Uei Guan
13 found
Order:
- Incremental Neural Network Training with an Increasing Input Dimension.Sheng-Uei Guan & Jun Liu - 2004 - Journal of Intelligent Systems 13 (1):43-70.
- Incremental Training Based on Input Space Partitioning and Ordered Attribute Presentation with Backward Elimination.Sheng-Uei Guan & JiHua Ang - 2005 - Journal of Intelligent Systems 14 (4):321-352.No categories
- An Incremental Approach to Contribution-Based Feature Selection.Sheng-Uei Guan, Jun Liu & Yinan Qi - 2004 - Journal of Intelligent Systems 13 (1):15-42.No categories
- Incremental Learning in Terms of Output Attributes.Sheng-Uei Guan & Peng Li - 2004 - Journal of Intelligent Systems 13 (2):95-122.No categories
- Incremental Neural Network Training with an Increasing Input Dimension.Sheng-Uei Guan & Jun Liu - 2004 - Journal of Intelligent Systems 13 (1):71-94.
- Task Decomposition Using Pattern Distributor.Sheng-Uei Guan, TseNgee Neo & Chunyu Bao - 2004 - Journal of Intelligent Systems 13 (2):123-150.No categories
- A Hierarchical Incremental Learning Approach to Task Decomposition.Sheng-Uei Guan & Peng Li - 2002 - Journal of Intelligent Systems 12 (3):201-226.
- Feature Selection for Modular Neural Network Classifiers.Sheng-Uei Guan & Peng Li - 2002 - Journal of Intelligent Systems 12 (3):173-200.
- Feature Selection for Modular Networks Based on Incremental Training.Sheng-Uei Guan & Jun Liu - 2005 - Journal of Intelligent Systems 14 (4):353-383.
- Incremental Ordered Neural Network Training.Sheng-Uei Guan & Jun Liu - 2002 - Journal of Intelligent Systems 12 (3):137-172.
- A Lateral Symmetry Approach to Percentage-Based Hybrid Pattern (PHP) Training.Sheng-Uei Guan & Kiruthika Ramanathan - 2007 - Journal of Intelligent Systems 16 (3):241-273.
- Percentage-Based Hybrid Pattern Training with Neural Network Specific Cross Over.Sheng-Uei Guan & Kiruthika Ramanathan - 2007 - Journal of Intelligent Systems 16 (1):1-26.
- Hierarchical Incremental Class Learning with Output Parallelism.Sheng-Uei Guan & Kai Wang - 2007 - Journal of Intelligent Systems 16 (2):167-193.
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