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Complexity of inferences in polytree-shaped semi-qualitative probabilistic networks
(Bellevue, 2013-12-04)
Semi-qualitative probabilistic networks (SQPNs) merge two important graphical model formalisms: Bayesian networks and qualitative probabilistic networks. They provade a very Complexity of inferences in polytree-shaped ...
Semantic Unlink Prediction in Evolving Social Networks through Probabilistic Description Logic
(Institute of Electrical and Electronics Engineers Inc., 2014)
Recently, prediction of new links between two individuals in social networks has gained a lot of attention. However, to fully understand and predict how the network evolves through time, ending relationships also need to ...
Fine-tuning enhanced probabilistic neural networks using metaheuristic-driven optimization
(2016-08-11)
Many approaches using neural networks have been studied in the past years. A number of architectures for different objectives are presented in the literature, including probabilistic neural networks (PNNs), which have shown ...
A scalable probabilistic description logic approach for semantic link prediction
(SBCCuritiba, 2012-05-20)
Predicting potential links between unconnected nodes in a network,
as collaboration networks, is a problem of great practical interest. Link prediction
is mostly based on graph-based features and recently, on approaches ...
Bagging k-dependence probabilistic networks: An alternative powerful fraud detection tool
(PERGAMON-ELSEVIER SCIENCE LTDOXFORD, 2012)
Fraud is a global problem that has required more attention due to an accentuated expansion of modern technology and communication. When statistical techniques are used to detect fraud, whether a fraud detection model is ...
Probabilistic Risk Assessment in Clouds: Models and Algorithms
(Universidade Federal de Pernambuco, 2015)
Network Savings Enabled By Probabilistic Shaping And Nonlinear Compensation
(IEEENew York, 2016)
Multiple Fault Diagnosis in Electrical Power Systems with Dynamic Load Changes Using Probabilistic Neural Networks
(Revista Computación y Sistemas; Vol. 14 No.1, 2010-09-30)
Abstract. Power systems monitoring is particularly challenging due to the presence of dynamic load changes in normal operation mode of network nodes, as well as the presence of both continuous and discrete variables, noisy ...
Probabilistic Intelligent Systems for Thermal Power Plants
(Revista Computación y Sistemas; Vol. 13 No.1, 2009-08-15)
Abstract. Artificial Intelligence applications in large-scale industry, such as thermal power plants, require the ability to manage uncertainty because current applications are large, complex and influenced by unexpected ...