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SIGIR
2006
ACM
15 years 10 months ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
SIGMETRICS
2006
ACM
174views Hardware» more  SIGMETRICS 2006»
15 years 10 months ago
Understanding the management of client perceived response time
Understanding and managing the response time of web services is of key importance as dependence on the World Wide Web continues to grow. We present Remote Latency-based Management...
David P. Olshefski, Jason Nieh
SIGMETRICS
2006
ACM
102views Hardware» more  SIGMETRICS 2006»
15 years 10 months ago
NetQuest: a flexible framework for large-scale network measurement
Abstract—In this paper, we present NetQuest, a flexible framework for large-scale network measurement. We apply Bayesian experimental design to select active measurements that m...
Han Hee Song, Lili Qiu, Yin Zhang
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SIGSOFT
2006
ACM
15 years 10 months ago
Using task context to improve programmer productivity
When working on a large software system, a programmer typically spends an inordinate amount of time sifting through thousands of artifacts to find just the subset of information n...
Mik Kersten, Gail C. Murphy
SPAA
2006
ACM
15 years 10 months ago
Towards a scalable and robust DHT
The problem of scalable and robust distributed data storage has recently attracted a lot of attention. A common approach in the area of peer-to-peer systems has been to use a dist...
Baruch Awerbuch, Christian Scheideler
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