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» SMDS Measurements and Modeling to Predict Performance
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IPPS
2002
IEEE
15 years 2 months ago
Characterizing NAS Benchmark Performance on Shared Heterogeneous Networks
The goal of this research is to develop performance profiles of parallel and distributed applications in order to predict their execution time under different network conditions....
Jaspal Subhlok, Shreenivasa Venkataramaiah, Amitoj...
UM
2009
Springer
15 years 4 months ago
Assessing the Impact of Measurement Uncertainty on User Models in Spatial Domains
Abstract. This paper examines the problem of uncertainty due to instrumentation in user modeling systems within spatial domains. We consider the uncertainty of inferring a user’s...
Daniel F. Schmidt, Ingrid Zukerman, David W. Albre...
ENTCS
2007
101views more  ENTCS 2007»
14 years 9 months ago
Parametric Performance Contracts: Non-Markovian Loop Modelling and an Experimental Evaluation
Even with todays hardware improvements, performance problems are still common in many software systems. An approach to tackle this problem for component-based software architectur...
Heiko Koziolek, Viktoria Firus
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
15 years 4 months ago
The Feature Importance Ranking Measure
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
Alexander Zien, Nicole Krämer, Sören Son...
NN
2007
Springer
14 years 9 months ago
Edge of chaos and prediction of computational performance for neural circuit models
We analyze in this article the significance of the edge of chaos for real-time computations in neural microcircuit models consisting of spiking neurons and dynamic synapses. We ...
Robert A. Legenstein, Wolfgang Maass