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» On the Complexity of Model Expansion
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IJCNN
2006
IEEE
14 years 4 months ago
Complex Systems Modeling Using Scale-Free Highly-Clustered Echo State Network
— Inspired by the universal laws governing different kinds of complex networks, we propose a scale-free highlyclustered echo state network (SHESN). Different from echo state netw...
Zhidong Deng, Yi Zhang
INFOCOM
2006
IEEE
14 years 4 months ago
Constant-Complexity Models for Wireless Channels
— High-order full-state Markov (FSM) chains have been employed to model errors and losses in many wireless studies. The complexity of this modeling paradigm is an exponential fun...
Syed A. Khayam, Hayder Radha
SAC
2006
ACM
14 years 4 months ago
Service-oriented grid computation for large-scale parameter estimation in complex environmental modeling
Complex environmental modeling often involves a large number of unknown physical and ecological parameters. Parameter estimation is one of the most difficult steps in many modelin...
Kejing He, Shoubin Dong, Li Zheng
KDD
1998
ACM
120views Data Mining» more  KDD 1998»
14 years 2 months ago
Large Datasets Lead to Overly Complex Models: An Explanation and a Solution
This paper explores unexpected results that lie at the intersection of two common themes in the KDD community: large datasets and the goal of building compact models. Experiments ...
Tim Oates, David Jensen
ICASSP
2009
IEEE
14 years 4 months ago
A complex cross-spectral distribution model using Normal Variance Mean Mixtures
We propose a model for the density of cross-spectral coefficients using Normal Variance Mean Mixtures. We show that this model density generalizes the corresponding marginal dens...
Jason A. Palmer, Scott Makeig, Kenneth Kreutz-Delg...