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» Modeling Dependable Systems using Hybrid Bayesian Networks
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ECSQARU
2005
Springer
14 years 1 months ago
Hydrologic Models for Emergency Decision Support Using Bayesian Networks
In the presence of a river flood, operators in charge of control must take decisions based on imperfect and incomplete sources of information (e.g., data provided by a limited numb...
Martín Molina, Raquel Fuentetaja, Luis Garr...
QSHINE
2005
IEEE
14 years 1 months ago
Utility-based Adaptive Resource Allocation in Hybrid Wireless Networks
Service availability in wireless networks is highly dependent on efficient resource allocation and guaranteed Quality of Service (QoS) amid overloads and failures. This paper add...
Calin Curescu, Simin Nadjm-Tehrani, Bing Cao, Tere...
ICAPR
2001
Springer
13 years 12 months ago
Pattern Matching and Neural Networks Based Hybrid Forecasting System
In this paper we propose a Neural Net-PMRS hybrid for forecasting time-series data. The neural network model uses the traditional MLP architecture and backpropagation method of tr...
Sameer Singh, Jonathan E. Fieldsend
HYBRID
2009
Springer
14 years 2 months ago
Parameter Synthesis for Hybrid Systems with an Application to Simulink Models
Abstract. This paper addresses a parameter synthesis problem for nonlinear hybrid systems. Considering a set of uncertain parameters and a safety property, we give an algorithm tha...
Alexandre Donzé, Bruce H. Krogh, Akshay Raj...
ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
14 years 1 months ago
Learning Functional Dependency Networks Based on Genetic Programming
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong