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» Improving the Context-sensitive Dependency Graph
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CORR
2010
Springer
153views Education» more  CORR 2010»
13 years 7 months ago
GraphLab: A New Framework for Parallel Machine Learning
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny B...
ICC
2007
IEEE
104views Communications» more  ICC 2007»
14 years 1 months ago
A Novel Graph Model for Maximum Survivability in Mesh Networks under Multiple Generic Risks
— This paper investigates the path protection problem in mesh networks under multiple generic risks. Disjoint logical links may fail simultaneously if they share the same compone...
Qingya She, Xiaodong Huang, Jason P. Jue
CN
2008
126views more  CN 2008»
13 years 7 months ago
Graph transformation approaches for diverse routing in shared risk resource group (SRRG) failures
Failure resilience is a desired feature of the Internet. Most traditional restoration architectures assume single-failure assumption, which is not adequate in present day WDM opti...
Pallab Datta, Arun K. Somani
MICAI
2010
Springer
13 years 6 months ago
Information Retrieval with a Simplified Conceptual Graph-Like Representation
We argue for that taking into account semantic relations between words in the text can improve information retrieval performance. We implemented the process of information retrieva...
Sonia Ordoñez-Salinas, Alexander F. Gelbukh
ICALP
2009
Springer
14 years 7 months ago
Tight Bounds for the Cover Time of Multiple Random Walks
We study the cover time of multiple random walks. Given a graph G of n vertices, assume that k independent random walks start from the same vertex. The parameter of interest is the...
Robert Elsässer, Thomas Sauerwald