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ISNN
2010
Springer
14 years 8 months ago
Pruning Training Samples Using a Supervised Clustering Algorithm
As practical pattern classification tasks are often very-large scale and serious imbalance such as patent classification, using traditional pattern classification techniques in ...
Minzhang Huang, Hai Zhao, Bao-Liang Lu
86
Voted
NN
2008
Springer
146views Neural Networks» more  NN 2008»
14 years 9 months ago
Clustering and co-evolution to construct neural network ensembles: An experimental study
This paper introduces an approach called Clustering and Co-evolution to Construct Neural Network Ensembles (CONE). This approach creates neural network ensembles in an innovative ...
Fernanda L. Minku, Teresa Bernarda Ludermir
DSN
2002
IEEE
15 years 2 months ago
Robust Software - No More Excuses
Software developers identify two main reasons why software systems are not made robust: performance and practicality. This work demonstrates the effectiveness of general technique...
John DeVale, Philip Koopman
70
Voted
JPDC
2006
134views more  JPDC 2006»
14 years 9 months ago
Fast shared-memory algorithms for computing the minimum spanning forest of sparse graphs
Minimum Spanning Tree (MST) is one of the most studied combinatorial problems with practical applications in VLSI layout, wireless communication, and distributed networks, recent ...
David A. Bader, Guojing Cong
RAID
2000
Springer
15 years 1 months ago
A Real-Time Intrusion Detection System Based on Learning Program Behavior
Abstract. In practice, most computer intrusions begin by misusing programs in clever ways to obtain unauthorized higher levels of privilege. One e ective way to detect intrusive ac...
Anup K. Ghosh, Christoph C. Michael, Michael Schat...