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INFOCOM
2000
IEEE
14 years 1 months ago
Stochastic Modeling of TCP over Lossy Links
—An analytical framework for modeling the performance of a single TCP session in the presence of random packet loss is presented. A Markovian approach is developed that allows us...
Alhussein A. Abouzeid, Sumit Roy, Murat Azizoglu
BIB
2006
84views more  BIB 2006»
13 years 9 months ago
Computational methodologies for modelling, analysis and simulation of signalling networks
This article is a critical review of computational techniques used to model, analyse and simulate signalling networks. We propose a conceptual framework, and discuss the role of s...
David R. Gilbert, Hendrik Fuß, Xu Gu, Richar...
LION
2009
Springer
129views Optimization» more  LION 2009»
14 years 3 months ago
Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
Vasileios L. Georgiou, Sonia Malefaki, Konstantino...
CEC
2009
IEEE
14 years 6 days ago
Using genetic programming to obtain implicit diversity
—When performing predictive data mining, the use of ensembles is known to increase prediction accuracy, compared to single models. To obtain this higher accuracy, ensembles shoul...
Ulf Johansson, Cecilia Sönströd, Tuve L&...
SDM
2004
SIAM
144views Data Mining» more  SDM 2004»
13 years 10 months ago
RBA: An Integrated Framework for Regression based on Association Rules
This paper explores a novel framework for building regression models using association rules. The model consists of an ordered set of IF-THEN rules, where the rule consequent is t...
Aysel Ozgur, Pang-Ning Tan, Vipin Kumar