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132
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AI
2002
Springer
15 years 3 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 ...
146
Voted
MCS
2007
Springer
15 years 3 months ago
Parallel unstructured mesh generation by an advancing front method
Mesh generation is a critical step in high fidelity computational simulations. High-quality and high-density meshes are required to accurately capture the complex physical phenome...
Yasushi Ito, Alan M. Shih, Anil K. Erukala, Bharat...
139
Voted
CCR
2004
113views more  CCR 2004»
15 years 3 months ago
Implementing aggregation and broadcast over Distributed Hash Tables
Peer-to-peer (P2P) networks represent an effective way to share information, since there are no central points of failure or bottleneck. However, the flip side to the distributive...
Ji Li, Karen R. Sollins, Dah-Yoh Lim
125
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CN
2004
85views more  CN 2004»
15 years 3 months ago
Pricing and admission control for QoS-enabled Internet
Over the past ten years, many pricing schemes have been proposed for a QoS-enabled network. Most of the proposed QoS-pricing schemes focus on congestion-sensitive pricing and opti...
Tianshu Li, Youssef Iraqi, Raouf Boutaba
CN
2004
163views more  CN 2004»
15 years 3 months ago
Highly reliable trust establishment scheme in ad hoc networks
Securing ad hoc networks in a fully self-organized way is effective and light-weight, but fails to accomplish trust initialization in many trust deficient scenarios. To overcome t...
Kui Ren, Tieyan Li, Zhiguo Wan, Feng Bao, Robert H...
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