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» Scalable Learning of Collective Behavior
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PAAPP
2010
131views more  PAAPP 2010»
13 years 6 months ago
Accurately measuring overhead, communication time and progression of blocking and nonblocking collective operations at massive s
Accurate, reproducible and comparable measurement of the overheads, communication times and progression behavior of blocking and nonblocking collective operations is a complicated...
Torsten Hoefler, Timo Schneider, Andrew Lumsdaine
MIDDLEWARE
2007
Springer
14 years 1 months ago
Garbage Collecting the Grid: A Complete DGC for Activities
Abstract. Grids are becoming more and more dynamic, running parallel applications on large scale and heterogeneous resources. Explicitly stopping a whole distributed application is...
Denis Caromel, Guillaume Chazarain, Ludovic Henrio
CVPR
2009
IEEE
15 years 2 months ago
Learning query-dependent prefilters for scalable image retrieval
We describe an algorithm for similar-image search which is designed to be efficient for extremely large collections of images. For each query, a small response set is selected by...
Lorenzo Torresani (Dartmouth College), Martin Szum...
EDM
2008
169views Data Mining» more  EDM 2008»
13 years 9 months ago
Mining Student Behavior Models in Learning-by-Teaching Environments
This paper discusses our approach to building models and analyzing student behaviors in different versions of our learning by teaching environment where students learn by teaching ...
Hogyeong Jeong, Gautam Biswas
CIKM
2000
Springer
13 years 12 months ago
Scalable association-based text classification
Naïve Bayes (NB) classifier has long been considered a core methodology in text classification mainly due to its simplicity and computational efficiency. There is an increasing n...
Dimitris Meretakis, Dimitris Fragoudis, Hongjun Lu...