Sciweavers

2 search results - page 1 / 1
» Experimental comparisons of online and batch versions of bag...
Sort
View
69
Voted
KDD
2001
ACM
128views Data Mining» more  KDD 2001»
16 years 1 months ago
Experimental comparisons of online and batch versions of bagging and boosting
Nikunj C. Oza, Stuart J. Russell
ECCV
2010
Springer
15 years 1 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof