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ICTAI
2002
IEEE
15 years 11 months ago
Function Approximation Using Robust Wavelet Neural Networks
Wavelet neural networks (WNN) have recently attracted great interest, because of their advantages over radial basis function networks (RBFN) as they are universal approximators bu...
Sheng-Tun Li, Shu-Ching Chen
NIPS
1997
15 years 7 months ago
Nonlinear Markov Networks for Continuous Variables
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
Reimar Hofmann, Volker Tresp
ISAAC
2009
Springer
140views Algorithms» more  ISAAC 2009»
16 years 1 months ago
Tighter Approximation Bounds for Minimum CDS in Wireless Ad Hoc Networks
Abstract. Connected dominating set (CDS) has a wide range of applications in wireless ad hoc networks. A number of approximation algorithms for constructing a small CDS in wireless...
Minming Li, Peng-Jun Wan, F. Frances Yao
PDCAT
2007
Springer
16 years 20 days ago
An Algorithm for Constructing Hamiltonian Cycle in Metacube Networks
The high-performance supercomputers will consist of several millions of CPUs in the next decade. The interconnection networks (INs) in such supercomputers play an important role. ...
Yamin Li, Shietung Peng, Wanming Chu
ATAL
2005
Springer
16 years 2 days ago
Data storage in unreliable multi-agent networks
The distributed data storage on unreliable devices, connected by a short-range radio network is analyzed. Failing devices incur loss of data. To prevent the loss, the data is spli...
Filip Miletic, Patrick Dewilde