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» A Functional Model for Data Analysis
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WSC
1998
15 years 6 months ago
So You Have Your Model: What to Do Next. A Tutorial on Simulation Output Analysis
Simulation models are built with the intent of studying the behavior of the real system represented by the model. However, a simulation model generates random outputs; thus, the d...
Martha A. Centeno, M. Florencia Reyes
ANSS
2006
IEEE
15 years 11 months ago
Performance Enhancement by Eliminating Redundant Function Execution
Programs often call the same function with the same arguments, yielding the same results. We call this phenomenon, “function reuse”. Previously, we have shown such a behavior ...
Peng Chen, Krishna M. Kavi, Robert Akl
NCA
2007
IEEE
15 years 5 months ago
A computational strategy exploiting genetic algorithms to recover color surface reflectance functions
—Information about the spectral reflectance of a color surface is useful in many applications. Assuming that reflectance functions can be adequately approximated by a linear comb...
Raimondo Schettini, Silvia Zuffi
IDEAS
2003
IEEE
86views Database» more  IDEAS 2003»
15 years 10 months ago
A Medium Complexity Discrete Model for Uncertain Spatial Data
This paper presents a method for representing uncertainty in spatial data in a database. The model presented requires moderate amounts of storage space. To compute the probability...
Erlend Tøssebro, Mads Nygård
BMCBI
2010
136views more  BMCBI 2010»
15 years 5 months ago
A hub-attachment based method to detect functional modules from confidence-scored protein interactions and expression profiles
Background: Many research results show that the biological systems are composed of functional modules. Members in the same module usually have common functions. This is useful inf...
Chia-Hao Chin, Shu-Hwa Chen, Chin-Wen Ho, Ming-Tat...