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HOTNETS
2010
14 years 11 months ago
DevoFlow: cost-effective flow management for high performance enterprise networks
The OpenFlow framework enables flow-level control over Ethernet switching, as well as centralized visibility of the flows in the network. OpenFlow's coupling of these feature...
Jeffrey C. Mogul, Jean Tourrilhes, Praveen Yalagan...
125
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NSDI
2008
15 years 7 months ago
DieCast: Testing Distributed Systems with an Accurate Scale Model
Large-scale network services can consist of tens of thousands of machines running thousands of unique software configurations spread across hundreds of physical networks. Testing ...
Diwaker Gupta, Kashi Venkatesh Vishwanath, Amin Va...
CIBCB
2007
IEEE
15 years 8 months ago
Prediction of Enzyme Catalytic Sites from Sequence Using Neural Networks
The accurate prediction of enzyme catalytic sites remains an open problem in bioinformatics. Recently, several structure-based methods have become popular; however, few robust seq...
Swati Pande, Amar Raheja, Dennis R. Livesay
ICSE
2008
IEEE-ACM
16 years 5 months ago
Predicting defects using network analysis on dependency graphs
In software development, resources for quality assurance are limited by time and by cost. In order to allocate resources effectively, managers need to rely on their experience bac...
Thomas Zimmermann, Nachiappan Nagappan
JMLR
2008
230views more  JMLR 2008»
15 years 4 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...