43 search results - page 5 / 9 » Evaluating Classifiers by Means of Test Data with Noisy Labe... |
AUSAI
2008
Springer
13 years 9 months ago
2008
Springer
Traditional text classification algorithms are based on a basic assumption: the training and test data should hold the same distribution. However, this identical distribution assum...
HIS
2008
13 years 9 months ago
2008
This paper proposes a methodology to generate artificial data sets to evaluate the behavior of machine learning techniques. The methodology relies in the definition of a domain an...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
CVPR
2009
IEEE
14 years 2 months ago
2009
IEEE
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image s...
SEMWEB
2007
Springer
14 years 1 months ago
2007
Springer
Hierarchical classifications are used pervasively by humans as a means to organize their data and knowledge about the world. One of their main advantages is that natural language ...