919 search results - page 69 / 184 » Generalizing over Several Learning Settings |
KDD
2001
ACM
14 years 8 months ago
2001
ACM
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
DIS
2009
Springer
14 years 2 months ago
2009
Springer
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
ECML
2004
Springer
14 years 1 months ago
2004
Springer
Random forests are one of the most successful ensemble methods which exhibits performance on the level of boosting and support vector machines. The method is fast, robust to noise,...
BPM
2010
Springer
13 years 9 months ago
2010
Springer
During the previous years, we presented several results concerned with various issues related to the correctness of models for business processes and services (i. e., interorganiza...
COGSCI
2007
13 years 7 months ago
2007
An expression-induction model was used to simulate the evolution of basic color terms to test Berlin and Kay’s (1969) hypothesis that the typological patterns observed in basic ...