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USENIX
2007
14 years 9 days ago
Load Shedding in Network Monitoring Applications
Monitoring and mining real-time network data streams is crucial for managing and operating data networks. The information that network operators desire to extract from the network...
Pere Barlet-Ros, Gianluca Iannaccone, Josep Sanju&...
ASPLOS
2008
ACM
14 years 1 hour ago
Feedback-driven threading: power-efficient and high-performance execution of multi-threaded workloads on CMPs
Extracting high-performance from the emerging Chip Multiprocessors (CMPs) requires that the application be divided into multiple threads. Each thread executes on a separate core t...
M. Aater Suleman, Moinuddin K. Qureshi, Yale N. Pa...
CIKM
2008
Springer
13 years 12 months ago
SoRec: social recommendation using probabilistic matrix factorization
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King
CIKM
2008
Springer
13 years 12 months ago
Modeling LSH for performance tuning
Although Locality-Sensitive Hashing (LSH) is a promising approach to similarity search in high-dimensional spaces, it has not been considered practical partly because its search q...
Wei Dong, Zhe Wang, William Josephson, Moses Chari...
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
13 years 11 months ago
A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider