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ICPR
2008
IEEE
14 years 2 months ago
Improving Bayesian Network parameter learning using constraints
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
Cassio Polpo de Campos, Qiang Ji
MOBISYS
2006
ACM
14 years 7 months ago
Using smart triggers for improved user performance in 802.11 wireless networks
The handoff algorithms in the current generation of 802.11 networks are primarily reactive in nature, because they wait until the link quality degrades substantially to trigger a ...
Vivek Mhatre, Konstantina Papagiannaki
ICC
2000
IEEE
376views Communications» more  ICC 2000»
14 years 4 days ago
TCP-Bus: Improving TCP Performance in Wireless Ad-Hoc Networks
Abstract: Reliable data transmission over wireless multi-hop networks, called ad hoc networks, has proven to be non-trivial. TCP (Transmission Control Protocol), a widely used end-...
Dongkyun Kim, Chai-Keong Toh, Yanghee Choi
NN
2000
Springer
192views Neural Networks» more  NN 2000»
13 years 7 months ago
A new algorithm for learning in piecewise-linear neural networks
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman E...
CTRSA
2006
Springer
140views Cryptology» more  CTRSA 2006»
13 years 11 months ago
Session Corruption Attack and Improvements on Encryption Based MT-Authenticators
Bellare, Canetti and Krawczyk proposed a security model (BCK-model) for authentication and key exchange protocols in 1998. The model not only reasonably captures the power of pract...
Xiaojian Tian, Duncan S. Wong