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IJON
2000
69views more  IJON 2000»
15 years 6 months ago
PARALLEL NEUROSYS: A system for the simulation of very large networks of biologically accurate neurons on parallel computers
We present a software package for the simulation of very large neuronal networks on parallel computers. The package can be run on any system with an implementation of the Message ...
Peter Pacheco, Marcelo Camperi, Toshi Uchino
NIPS
2000
15 years 7 months ago
Sparse Representation for Gaussian Process Models
We develop an approach for a sparse representation for Gaussian Process (GP) models in order to overcome the limitations of GPs caused by large data sets. The method is based on a...
Lehel Csató, Manfred Opper
WSC
2001
15 years 7 months ago
Analyzing the supply chain for a large logistics operation using simulation
This paper presents a case study of using simulation for analyzing the impact of proposed changes in the supply chain processes for a large logistics operation. The major changes ...
Sanjay Jain, Eric C. Ervin, Andrew P. Lathrop, Rus...
AI
2007
Springer
16 years 19 days ago
Improving Importance Sampling by Adaptive Split-Rejection Control in Bayesian Networks
Importance sampling-based algorithms are a popular alternative when Bayesian network models are too large or too complex for exact algorithms. However, importance sampling is sensi...
Changhe Yuan, Marek J. Druzdzel
PRIB
2009
Springer
187views Bioinformatics» more  PRIB 2009»
15 years 11 months ago
Semi-supervised Prediction of Protein Interaction Sentences Exploiting Semantically Encoded Metrics
Protein-protein interaction (PPI) identification is an integral component of many biomedical research and database curation tools. Automation of this task through classification ...
Tamara Polajnar, Mark A. Girolami