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» A Model for Large Scale Self-Stabilization
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ACL
2010
13 years 5 months ago
Practical Very Large Scale CRFs
Conditional Random Fields (CRFs) are a widely-used approach for supervised sequence labelling, notably due to their ability to handle large description spaces and to integrate str...
Thomas Lavergne, Olivier Cappé, Franç...
EUROPAR
2004
Springer
14 years 1 months ago
Large-Scale Deployment in P2P Experiments Using the JXTA Distributed Framework
The interesting properties of P2P systems (high availability despite peer volatility, support for heterogeneous architectures, high scalability, etc.) make them attractive for dist...
Gabriel Antoniu, Luc Bougé, Mathieu Jan, S&...
CCGRID
2002
IEEE
14 years 17 days ago
Tracing a Large-Scale Peer to Peer System: An Hour in the Life of Gnutella
Peer-to-peer computing and networking, an emerging model of communication and computation, has recently started to gain significant acceptance. This model not only enables client...
Evangelos P. Markatos
ML
2010
ACM
124views Machine Learning» more  ML 2010»
13 years 6 months ago
Large scale image annotation: learning to rank with joint word-image embeddings
Image annotation datasets are becoming larger and larger, with tens of millions of images and tens of thousands of possible annotations. We propose a strongly performing method tha...
Jason Weston, Samy Bengio, Nicolas Usunier
OSDI
2008
ACM
14 years 8 months ago
HiLighter: Automatically Building Robust Signatures of Performance Behavior for Small- and Large-Scale Systems
Previous work showed that statistical analysis techniques could successfully be used to construct compact signatures of distinct operational problems in Internet server systems. B...
Armando Fox, Moisés Goldszmidt, Peter Bod&i...