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AI
2002
Springer
15 years 6 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 ...
TWC
2008
120views more  TWC 2008»
15 years 6 months ago
Cooperation Enforcement and Learning for Optimizing Packet Forwarding in Autonomous Wireless Networks
In wireless ad hoc networks, autonomous nodes are reluctant to forward others' packets because of the nodes' limited energy. However, such selfishness and noncooperation ...
Charles Pandana, Zhu Han, K. J. Ray Liu
AINA
2008
IEEE
16 years 26 days ago
Multi-Character Processor Array for Pattern Matching in Network Intrusion Detection System
—Network Intrusion Detection System (NIDS) is a system developed for identifying attacks by using a set of rules. NIDS is an efficient way to provide the security protection for ...
Yeim-Kuan Chang, Ming-Li Tsai, Yu-Ru Chung
AINA
2005
IEEE
16 years 2 hour ago
A DDRR-Based Scheduler to Achieve Proportional Delay Differentiation in Terabit Network
In recent years much attention has been given to providing the proportional delay differentiation through the packet scheduling. The issue of the performance of the scheduling alg...
Chin-Chi Wu, Hsien-Ming Wu, Chia-Lung Liu, Woei Li...
LCN
2003
IEEE
15 years 11 months ago
Scheduling Resources in Programmable and Active Networks Based on Adaptive Estimations
In active and programmable networks, packet processing could be accomplished in the router within the data path. For efficient resource allocation in such networks, the packet sch...
Fariza Sabrina, Sanjay Jha