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132
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ICNC
2005
Springer
15 years 9 months ago
Training Data Selection for Support Vector Machines
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
SIGSOFT
2007
ACM
16 years 4 months ago
The impact of input domain reduction on search-based test data generation
There has recently been a great deal of interest in search? based test data generation, with many local and global search algorithms being proposed. However, to date, there has be...
Mark Harman, Youssef Hassoun, Kiran Lakhotia, Phil...
151
Voted
FSKD
2008
Springer
174views Fuzzy Logic» more  FSKD 2008»
15 years 4 months ago
A Hybrid Re-sampling Method for SVM Learning from Imbalanced Data Sets
Support Vector Machine (SVM) has been widely studied and shown success in many application fields. However, the performance of SVM drops significantly when it is applied to the pr...
Peng Li, Pei-Li Qiao, Yuan-Chao Liu
165
Voted
IPSN
2007
Springer
15 years 9 months ago
Sparse data aggregation in sensor networks
We study the problem of aggregating data from a sparse set of nodes in a wireless sensor network. This is a common situation when a sensor network is deployed to detect relatively...
Jie Gao, Leonidas J. Guibas, Nikola Milosavljevic,...
ICC
2008
IEEE
168views Communications» more  ICC 2008»
15 years 10 months ago
Topology Control for Reliable Sensor-to-Sink Data Transport in Sensor Networks
— Wireless Sensor Networks (WSNs) are generally used for harsh environments involving military surveillance, emergency response, and habitat monitoring. Due to severe resource co...
Jiong Wang, Sirisha Medidi