624 search results - page 4 / 125 » The Tradeoffs of Large Scale Learning |
CIKM
2000
Springer
13 years 10 months ago
2000
Springer
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...
ICCV
2007
IEEE
13 years 12 months ago
2007
IEEE
We investigate the problem of learning optimal descriptors for a given classification task. Many hand-crafted descriptors have been proposed in the literature for measuring visua...
MASCOTS
2008
13 years 7 months ago
2008
A key obstacle to large-scale network simulation over PC clusters is the memory balancing problem where a memory-overloaded machine can slow down an entire simulation due to disk ...
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
NIPS
2007
13 years 7 months ago
2007
This paper investigates the application of randomized algorithms for large scale SVM learning. The key contribution of the paper is to show that, by using ideas random projections...