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KDD
2010
ACM
224views Data Mining» more  KDD 2010»
15 years 10 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 10 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 9 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...
MOBISYS
2010
ACM
15 years 8 months ago
GreenGPS: a participatory sensing fuel-efficient maps application
This paper develops a navigation service, called GreenGPS, that uses participatory sensing data to map fuel consumption on city streets, allowing drivers to find the most fueleffi...
Raghu K. Ganti, Nam Pham, Hossein Ahmadi, Saurabh ...
CIKM
2008
Springer
15 years 8 months ago
To swing or not to swing: learning when (not) to advertise
Web textual advertising can be interpreted as a search problem over the corpus of ads available for display in a particular context. In contrast to conventional information retrie...
Andrei Z. Broder, Massimiliano Ciaramita, Marcus F...