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LCN
2006
IEEE
15 years 10 months ago
Training on multiple sub-flows to optimise the use of Machine Learning classifiers in real-world IP networks
Literature on the use of machine learning (ML) algorithms for classifying IP traffic has relied on fullflows or the first few packets of flows. In contrast, many real-world scenar...
Thuy T. T. Nguyen, Grenville J. Armitage
ICPPW
2000
IEEE
15 years 9 months ago
Scheduling Multiple Multicast for Heterogeneous Network of Workstations with Non-Blocking Message-Passing
This paper proposes efficient algorithms for implementing multicast in heterogeneous workstation/PC clusters. Multicast is an important operation in many scientific and industri...
Shih-Hsien Yeh, Jan-Jan Wu, Pangfeng Liu
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
15 years 8 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
TC
2011
14 years 11 months ago
Hybrid Binary-Ternary Number System for Elliptic Curve Cryptosystems
—Single and double scalar multiplications are the most computational intensive operations in elliptic curve based cryptosystems. Improving the performance of these operations is ...
Jithra Adikari, Vassil S. Dimitrov, Laurent Imbert
JSC
2011
99views more  JSC 2011»
14 years 7 months ago
Sparse polynomial division using a heap
In 1974, Johnson showed how to multiply and divide sparse polynomials using a binary heap. This paper introduces a new algorithm that uses a heap to divide with the same complexit...
Michael B. Monagan, Roman Pearce