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KDD
2010
ACM
224views Data Mining» more  KDD 2010»
15 years 8 months ago
Ensemble pruning via individual contribution ordering
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard
SIGIR
2010
ACM
15 years 8 months ago
Personalizing information retrieval for multi-session tasks: the roles of task stage and task type
Dwell time as a user behavior has been found in previous studies to be an unreliable predictor of document usefulness, with contextual factors such as the user’s task needing to...
Jingjing Liu, Nicholas J. Belkin
CGO
2004
IEEE
15 years 8 months ago
A Dynamically Tuned Sorting Library
Empirical search is a strategy used during the installation of library generators such as ATLAS, FFTW, and SPIRAL to identify the algorithm or the version of an algorithm that del...
Xiaoming Li, María Jesús Garzar&aacu...
ICSE
2000
IEEE-ACM
15 years 8 months ago
Software engineering and performance: a road-map
Software engineering has traditionally focussed on functional requirements and how to build software that has few bugs and can be easily maintained. Most design approaches include...
Rob Pooley
USENIX
2007
15 years 7 months 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&...