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WSC
2004
13 years 10 months ago
Building Credible Input Models
Most discrete-event simulation models have stochastic elements that mimic the probabilistic nature of the system under consideration. A close match between the input model and the...
Lawrence Leemis
WSC
1998
13 years 10 months ago
Input Modeling
Most discrete-event simulation models have stochastic elements that mimic the probabilistic nature of the system under consideration. A close match between the input model and the...
Lawrence Leemis
MM
2003
ACM
124views Multimedia» more  MM 2003»
14 years 2 months ago
Experience based sampling technique for multimedia analysis
We present a novel experience based sampling or experiential sampling technique which has the ability to focus on the analysis’s task by making use of the contextual information...
Jun Wang, Mohan S. Kankanhalli
BMCBI
2010
164views more  BMCBI 2010»
13 years 6 months ago
Merged consensus clustering to assess and improve class discovery with microarray data
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...
RTCSA
2000
IEEE
14 years 1 months ago
Scheduling optional computations in fault-tolerant real-time systems
This paper introduces an exact schedulability analysis for the optional computation model urider a specified failure hypothesis. From this analysis, we propose a solutionfor deter...
Pedro Mejía-Alvarez, Hakan Aydin, Daniel Mo...