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» Modeling Dependable Systems using Hybrid Bayesian Networks
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WSC
2004
13 years 10 months ago
Optimization by Simulation Metamodelling Methods
We consider how simulation metamodels can be used to optimize the performance of a system that depends on a number of factors. We focus on the situation where the number of simula...
Russell C. H. Cheng, Christine S. M. Currie
AI
2002
Springer
13 years 8 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
MSN
2007
Springer
125views Sensor Networks» more  MSN 2007»
14 years 2 months ago
Ensuring Area Coverage in Hybrid Wireless Sensor Networks
Success of Wireless Sensor Networks largely depends whether the deployed network can provide desired coverage with acceptable network lifetime. This paper proposes a distributed pr...
Nadeem Ahmed, Salil S. Kanhere, Sanjay Jha
BROADNETS
2006
IEEE
14 years 2 months ago
SLIP-IN Architecture: A new Hybrid Optical Switching Scheme
— In this paper, we present a new hybrid switching architecture, termed as SLIP-IN, that combines electronic packet/burst with optical circuit switching. SLIP-IN architecture tak...
Kostas Ramantas, Kostas Christodoulopoulos, Kyriak...
AI
2010
Springer
14 years 5 days ago
Automatic Discovery of Network Applications: A Hybrid Approach
Automatic discovery of network applications is a very challenging task which has received a lot of attentions due to its importance in many areas such as network security, QoS prov...
Mahbod Tavallaee, Wei Lu, Ebrahim Bagheri, Ali A. ...