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KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 8 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
IJON
2008
186views more  IJON 2008»
13 years 7 months ago
Computational analysis and learning for a biologically motivated model of boundary detection
In this work we address the problem of boundary detection by combining ideas and approaches from biological and computational vision. Initially, we propose a simple and efficient ...
Iasonas Kokkinos, Rachid Deriche, Olivier D. Fauge...
PAM
2009
Springer
14 years 2 months ago
Triangle Inequality and Routing Policy Violations in the Internet
Triangle inequality violations (TIVs) are the effect of packets between two nodes being routed on the longer direct path between them when a shorter detour path through an intermed...
Cristian Lumezanu, Randolph Baden, Neil Spring, Bo...
TON
2012
11 years 10 months ago
Latency Equalization as a New Network Service Primitive
—Multiparty interactive network applications such as teleconferencing, network gaming, and online trading are gaining popularity. In addition to end-to-end latency bounds, these ...
Minlan Yu, Marina Thottan, Li (Erran) Li
SIROCCO
2010
13 years 9 months ago
Traffic Grooming in Star Networks via Matching Techniques
The problem of grooming is central in studies of optical networks. In graph-theoretic terms, it can be viewed as assigning colors to given paths in a graph, so that at most g (the ...
Ignasi Sau, Mordechai Shalom, Shmuel Zaks