1006 search results - page 34 / 202 » A Case Study for Learning from Imbalanced Data Sets |
BMCBI
2006
13 years 9 months ago
2006
Background: Various statistical and machine learning methods have been successfully applied to the classification of DNA microarray data. Simple instance-based classifiers such as...
ICDM
2005
IEEE
14 years 2 months ago
2005
IEEE
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...
MLDM
2007
Springer
14 years 3 months ago
2007
Springer
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
SAC
2005
ACM
14 years 2 months ago
2005
ACM
Over the last few years rapid progress has been made in moving from conceptual studies, “whitepapers” and initiatives to the actual deployment of e-Government systems [13]. In...
LREC
2010
13 years 10 months ago
2010
In the paper we investigate the impact of data size on a Word Sense Disambiguation task (WSD). We question the assumption that the knowledge acquisition bottleneck, which is known...