28 search results - page 2 / 6 » Ensemble Learning Based on Active Example Selection for Solv... |
ICIC
2005
Springer
13 years 10 months ago
2005
Springer
In recent years, mining with imbalanced data sets receives more and more attentions in both theoretical and practical aspects. This paper introduces the importance of imbalanced da...
ISDA
2010
IEEE
13 years 3 months ago
2010
IEEE
Real life datasets often suffer from the problem of class imbalance, which thwarts supervised learning process. In such data sets examples of positive (minority) class are signific...
CBMS
2008
IEEE
13 years 7 months ago
2008
IEEE
In the real world concepts are often not stable but change over time. A typical example of this in the biomedical context is antibiotic resistance, where pathogen sensitivity may ...
ILP
2004
Springer
13 years 10 months ago
2004
Springer
Many domains in the field of Inductive Logic Programming (ILP) involve highly unbalanced data. Our research has focused on Information Extraction (IE), a task that typically invol...
TASLP
2010
13 years 19 hour ago
2010
To solve the knowledge bottleneck problem, active learning has been widely used for its ability to automatically select the most informative unlabeled examples for human annotation...