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» New Algorithms for Generalized Network Flows
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KDD
1999
ACM
152views Data Mining» more  KDD 1999»
15 years 2 months ago
Applying General Bayesian Techniques to Improve TAN Induction
Tree Augmented Naive Bayes (TAN) has shown to be competitive with state-of-the-art machine learning algorithms [3]. However, the TAN induction algorithm that appears in [3] can be...
Jesús Cerquides
CC
2006
Springer
108views System Software» more  CC 2006»
15 years 1 months ago
A Fresh Look at PRE as a Maximum Flow Problem
We show that classic PRE is also a maximum flow problem, thereby revealing the missing link between classic and speculative PRE, and more importantly, establishing a common high-le...
Jingling Xue, Jens Knoop
DAC
2006
ACM
15 years 11 months ago
Prediction-based flow control for network-on-chip traffic
Networks-on-Chip (NoC) architectures provide a scalable solution to on-chip communication problem but the bandwidth offered by NoCs can be utilized efficiently only in presence of...
Ümit Y. Ogras, Radu Marculescu
ICS
2009
Tsinghua U.
15 years 2 months ago
Exploring pattern-aware routing in generalized fat tree networks
New static source routing algorithms for High Performance Computing (HPC) are presented in this work. The target parallel architectures are based on the commonly used fattree netw...
Germán Rodríguez, Ramón Beivi...
JCM
2006
89views more  JCM 2006»
14 years 10 months ago
A Premium Traffic Management in DiffServ Through End-to-End Delay Budget Partitioning
Our novel Call Admission Control (CAC) scheme [1], [2] determines the number of Expedited Forwarding (EF) (Premium) flows accepted, based on e2e available bandwidth measurement. Ho...
Hamada Alshaer, Eric Horlait