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FLAIRS
2004
13 years 10 months ago
Strategies For Fuzzy Inference within Classifier Systems
When designing any type of fuzzy rule based system, considerable effort is placed in identifying the correct number of fuzzy sets and the fine tuning of the corresponding membersh...
Keeley A. Crockett, Zuhair Bandar, David McLean
ICWN
2003
13 years 10 months ago
Energy-Efficient Bootstrapping Protocol for Sensor Networks
Sensor networks are poised for increasingly wider uses in many military and civil applications. We present a bootstrapping protocol for a class of sensor networks in which the net...
Rajesh Mathew, Mohamed F. Younis
UAI
1990
13 years 10 months ago
Ideal reformulation of belief networks
The intelligent reformulation or restructuring of a belief network can greatly increase the efficiency of inference. However, time expended for reformulation is not available for ...
Jack S. Breese, Eric Horvitz
CEC
2010
IEEE
13 years 10 months ago
Geometric Nelder-Mead Algorithm for the permutation representation
The Nelder-Mead Algorithm (NMA) is an almost half-century old method for numerical optimization, and it is a close relative of Particle Swarm Optimization (PSO) and Differential Ev...
Alberto Moraglio, Julian Togelius
FSKD
2008
Springer
174views Fuzzy Logic» more  FSKD 2008»
13 years 10 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