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PE
2000
Springer
95views Optimization» more  PE 2000»
15 years 6 months ago
Compositional performance modelling with the TIPPtool
Stochastic process algebras have been proposed as compositional specification formalisms for performance models. In this paper, we describe a tool which aims at realising all bene...
Holger Hermanns, Ulrich Herzog, Ulrich Klehmet, Va...
PE
2002
Springer
124views Optimization» more  PE 2002»
15 years 5 months ago
Continuous-time hidden Markov models for network performance evaluation
In this paper, we study the use of continuous-time hidden Markov models (CT-HMMs) for network protocol and application performance evaluation. We develop an algorithm to infer the...
Wei Wei, Bing Wang, Donald F. Towsley
VTC
2008
IEEE
159views Communications» more  VTC 2008»
16 years 17 days ago
Binary Demodulation in Rayleigh Fading with Noisy Channel Estimates - Detector Structures and Performance
Abstract— In previous work, we studied the structure and performance of optimum maximum-likelihood receivers for binary antipodal and orthogonal signals in the presence of Gaussi...
Amir Ali Basri, Teng Joon Lim
QOSA
2010
Springer
15 years 10 months ago
Statistical Inference of Software Performance Models for Parametric Performance Completions
Software performance engineering (SPE) enables software architects to ensure high performance standards for their applications. However, applying SPE in practice is still challengi...
Jens Happe, Dennis Westermann, Kai Sachs, Lucia Ka...
IJCNN
2007
IEEE
16 years 14 days ago
Evaluation of Performance Measures for SVR Hyperparameter Selection
— To obtain accurate modeling results, it is of primal importance to find optimal values for the hyperparameters in the Support Vector Regression (SVR) model. In general, we sea...
Koen Smets, Brigitte Verdonk, Elsa Jordaan