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» Using a Markov network model in a univariate EDA: an empiric...
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DSOM
2000
Springer
13 years 9 months ago
Operational Data Analysis: Improved Predictions Using Multi-computer Pattern Detection
Operational Data Analysis (ODA) automatically 1) monitors the performance of a computer through time, 2) stores such information in a data repository, 3) applies data-mining techn...
Ricardo Vilalta, Chidanand Apté, Sholom M. ...
CEC
2009
IEEE
14 years 1 days ago
Structure learning and optimisation in a Markov-network based estimation of distribution algorithm
—Structure learning is a crucial component of a multivariate Estimation of Distribution algorithm. It is the part which determines the interactions between variables in the proba...
Alexander E. I. Brownlee, John A. W. McCall, Siddh...
PROMISE
2010
13 years 1 days ago
Defect cost flow model: a Bayesian network for predicting defect correction effort
Background. Software defect prediction has been one of the central topics of software engineering. Predicted defect counts have been used mainly to assess software quality and est...
Thomas Schulz, Lukasz Radlinski, Thomas Gorges, Wo...
LCN
2006
IEEE
13 years 11 months ago
Modelling Voice Communication in Disaster Area Scenarios
This paper deals with voice communication models for disaster area scenarios. The goal is to design models that can be used to generate realistic push to talk traffic for single ...
Nils Aschenbruck, Michael Gerharz, Matthias Frank,...
AI
2000
Springer
13 years 5 months ago
Stochastic dynamic programming with factored representations
Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
Craig Boutilier, Richard Dearden, Moisés Go...