201 search results - page 1 / 41 » Exploiting Unlabeled Data for Improving Accuracy of Predicti... |
ICDM
2003
IEEE
13 years 10 months ago
2003
IEEE
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
ICDM
2010
IEEE
13 years 2 months ago
2010
IEEE
Ensemble learning aims to improve generalization ability by using multiple base learners. It is well-known that to construct a good ensemble, the base learners should be accurate a...
PRIB
2009
Springer
13 years 9 months ago
2009
Springer
Protein-protein interaction (PPI) identification is an integral component of many biomedical research and database curation tools. Automation of this task through classification ...
ADMI
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. We study the problem of predictive data mining in the competitive multi-agent setting, in which each agent is assumed to have some partial knowledge needed for correctly ...
BIBM
2008
IEEE
13 years 6 months ago
2008
IEEE
Recent studies in protein sequence analysis have leveraged the power of unlabeled data. For example, the profile and mismatch neighborhood kernels have shown significant improveme...