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» A Functional Model for Data Analysis
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JCNS
2000
165views more  JCNS 2000»
15 years 6 months ago
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientati
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
Duane Q. Nykamp, Daniel Tranchina
DAGSTUHL
2008
15 years 8 months ago
Transfinite Interpolation for Well-Definition in Error Analysis in Solid Modelling
An overall approach to the problem of error analysis in the context of solid modelling, analogous to the standard forward/backward error analysis of Numerical Analysis, was describ...
Neil F. Stewart, Malika Zidani
CIDR
2009
180views Algorithms» more  CIDR 2009»
15 years 8 months ago
Data Management for High-Throughput Genomics
Today's sequencing technology allows sequencing an individual genome within a few weeks for a fraction of the costs of the original Human Genome project. Genomics labs are fa...
Uwe Röhm, José A. Blakeley
JIB
2010
107views more  JIB 2010»
15 years 1 months ago
Integration of -omics data and networks for biomedical research with VANTED
Increasingly, research focus in the fields of biology and medicine moves from the investigation of single phenomena to the analysis of complex cause and effect relationships. The ...
Christian Klukas, Falk Schreiber
WSC
2007
15 years 9 months ago
Classification analysis for simulation of machine breakdowns
Machine failure is often an important factor in throughput of manufacturing systems. To simplify the inputs to the simulation model for complex machining and assembly lines, we ha...
Lanting Lu, Christine S. M. Currie, Russell C. H. ...