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TPDS
2008
120views more  TPDS 2008»
14 years 9 months ago
A New Storage Scheme for Approximate Location Queries in Object-Tracking Sensor Networks
Energy efficiency is one of the most critical issues in the design of wireless sensor networks. Observing that many sensor applications for object tracking can tolerate a certain d...
Jianliang Xu, Xueyan Tang, Wang-Chien Lee
AAAI
2008
15 years 5 days ago
Latent Tree Models and Approximate Inference in Bayesian Networks
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and wh...
Yi Wang, Nevin Lianwen Zhang, Tao Chen
CEC
2003
IEEE
15 years 3 months ago
Comparing neural networks and Kriging for fitness approximation in evolutionary optimization
Neural networks and the Kriging method are compared for constructing £tness approximation models in evolutionary optimization algorithms. The two models are applied in an identica...
Lars Willmes, Thomas Bäck, Yaochu Jin, Bernha...
ICDCS
2008
IEEE
15 years 4 months ago
Two-Phased Approximation Algorithms for Minimum CDS in Wireless Ad Hoc Networks
— Connected dominating set (CDS) has a wide range of applications in wireless ad hoc networks. A number of distributed algorithms for constructing a small CDS in wireless ad hoc ...
Peng-Jun Wan, Lixin Wang, F. Frances Yao
IJBC
2002
109views more  IJBC 2002»
14 years 9 months ago
Cnn Dynamics represents a Broader Class than PDES
The relationship between Cellular Nonlinear Networks (CNNs) and Partial Differential Equations (PDEs) is investigated. The equivalence between discrete-space CNN models and contin...
Marco Gilli, Tamás Roska, Leon O. Chua, Pie...