Pui-Fai Sum

13 papers Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2015 J jnl
Online Training for Open Faulty RBF Networks.
Neural Process. Lett.
Yi Xiao, Ruibin Feng, Chi-Sing Leung, Pui-Fai Sum
2013 — conf
GPU Accelerated Spherical K-Means Training.
ICONIP (2)
Yi Xiao, Ruibin Feng, Chi-Sing Leung, Pui-Fai Sum
2012 J jnl
Analysis on the Convergence Time of Dual Neural Network-Based WTA.
IEEE Trans. Neural Networks Learn. Syst.
Yi Xiao, Yuxin Liu, Chi-Sing Leung, Pui-Fai Sum, Kevin Ho
2012 — conf
On the Objective Function and Learning Algorithm for Concurrent Open Node Fault.
ICONIP (3)
Chi-Sing Leung, Pui-Fai Sum, Kai-Tat Ng
2012 J jnl
Optimization of tuning parameters for open node fault regularizer.
Neurocomputing
Chi-Sing Leung, Pui-Fai Sum, Yuxin Liu
2011 J jnl
Regularizers for fault tolerant multilayer feedforward networks.
Neurocomputing
Shue Kwan Mak, Pui-Fai Sum, Chi-Sing Leung
2011 J jnl
The effect of weight fault on associative networks.
Neural Comput. Appl.
Andrew Chi-Sing Leung, Pui-Fai Sum, Kevin Ho
2010 J jnl
Kernel Width Optimization for Faulty RBF Neural Networks with Multi-node Open Fault.
Neural Process. Lett.
Hongjiang Wang, Chi-Sing Leung, Pui-Fai Sum, Gang Wei
2009 — conf
Fault Tolerant Regularizers for Multilayer Feedforward Networks.
ICONIP (1)
Deng-yu Qiao, Chi-Sing Leung, Pui-Fai Sum
2008 — conf
Analysis on Generalization Error of Faulty RBF Networks with Weight Decay Regularizer.
ICONIP (2)
Chi-Sing Leung, Pui-Fai Sum, Hongjiang Wang
2007 — conf
Analysis on Bidirectional Associative Memories with Multiplicative Weight Noise.
ICONIP (1)
Chi-Sing Leung, Pui-Fai Sum, Tien-Tsin Wong
2001 J jnl
A pruning method for the recursive least squared algorithm.
Neural Networks
Chi-Sing Leung, Kwok-Wo Wong, Pui-Fai Sum, Lai-Wan Chan
1998 — —
Extended Kalman filter based pruning algorithms and several aspects of neural network learning.
Pui-Fai Sum