13414 search results - page 61 / 2683 » The distributed boosting algorithm |
IJCAI
2003
13 years 10 months ago
2003
In this paper we propose the framework of Monte Carlo algorithms as a useful one to analyze ensemble learning. In particular, this framework allows one to guess when bagging will ...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
This paper studies image alignment, the problem of learning a shape and appearance model from labeled data and efficiently fitting the model to a non-rigid object with large varia...
ILP
2003
Springer
14 years 1 months ago
2003
Springer
Boosting has established itself as a successful technique for decreasing the generalization error of classification learners by basing predictions on ensembles of hypotheses. Whil...
KDD
1995
ACM
14 years 8 days ago
1995
ACM
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
CVPR
2010
IEEE
13 years 9 months ago
2010
IEEE
Transfer learning allows leveraging the knowledge of source domains, available a priori, to help training a classifier for a target domain, where the available data is scarce. Th...