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» A Framework for Grid-based Neural Networks
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CNSR
2005
IEEE
210views Communications» more  CNSR 2005»
15 years 7 months ago
A Framework for Self-Management of Hybrid Wireless Networks Using Autonomic Computing Principles
The dramatic increase in the number of mobile subscribers has put a significant resource and service provisioning strain on current cellular networks in particular in terms of mu...
Chong Shen, Dirk Pesch, James Irvine
ACL
2007
15 years 7 months ago
Constituent Parsing with Incremental Sigmoid Belief Networks
We introduce a framework for syntactic parsing with latent variables based on a form of dynamic Sigmoid Belief Networks called Incremental Sigmoid Belief Networks. We demonstrate ...
Ivan Titov, James Henderson
NN
2006
Springer
120views Neural Networks» more  NN 2006»
15 years 5 months ago
Computational intelligence in earth sciences and environmental applications: Issues and challenges
This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...
Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dim...
IJCNN
2008
IEEE
16 years 3 days ago
On the sample mean of graphs
— We present an analytic and geometric view of the sample mean of graphs. The theoretical framework yields efficient subgradient methods for approximating a structural mean and ...
Brijnesh J. Jain, Klaus Obermayer
IJON
2006
65views more  IJON 2006»
15 years 5 months ago
On-line estimation of the final prediction error via recursive least-squares method
This paper starting from the very first principle presents a derivation of an equation estimating of the final prediction error for a neural network under the recursive least squa...
John Sum, Kevin Ho