6368 search results - page 33 / 1274 » Modeling Problem Transformations based on Data Complexity |
SOCO
2008
Springer
14 years 9 months ago
2008
Springer
The new concept and method of imposing imprecise (fuzzy) input and output data upon the conventional linear regression model is proposed in this paper. We introduce the fuzzy scala...
NIPS
2001
14 years 11 months ago
2001
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
SIGMETRICS
2010
ACM
15 years 2 months ago
2010
ACM
Perhaps surprisingly, no practical performance models exist for popular (and complex) client applications such as Adobe’s Creative Suite, Microsoft’s Office and Visual Studio...
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BMCBI
2008
14 years 10 months ago
2008
Background: Quasi-steady state approximation (QSSA) based on time-scale analysis is known to be an effective method for simplifying metabolic reaction system, but the conventional...
JUCS
2008
14 years 9 months ago
2008
: Currently, many models are used to capture functional software requirements. However, the Software Engineering community has faded interaction requirements into the background, d...