13 search results - page 2 / 3 » Considering Cost Asymmetry in Learning Classifiers |
PR
2007
13 years 4 months ago
2007
In relevance feedback algorithms, selective sampling is often used to reduce the cost of labeling and explore the unlabeled data. In this paper, we proposed an active learning alg...
FLAIRS
2006
13 years 6 months ago
2006
In this paper, we present a new rule induction algorithm for machine learning in medical diagnosis. Medical datasets, as many other real-world datasets, exhibit an imbalanced clas...
EMNLP
2009
13 years 2 months ago
2009
Machine involvement has the potential to speed up language documentation. We assess this potential with timed annotation experiments that consider annotator expertise, example sel...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
While classical kernel-based classifiers are based on a single kernel, in practice it is often desirable to base classifiers on combinations of multiple kernels. Lanckriet et al. ...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
We propose a method for learning using a set of feature representations which retrieve different amounts of information at different costs. The goal is to create a more efficient ...