85 search results - page 3 / 17 » A weighted rough set based method developed for class imbala... |
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
This paper presents a new learning approach for pattern classification applications involving imbalanced data sets. In this approach, a clustering technique is employed to resamp...
FLAIRS
2007
13 years 10 months ago
2007
Many real-world domains present the problem of imbalanced data sets, where examples of one classes significantly outnumber examples of other classes. This makes learning difficu...
RSEISP
2007
Springer
14 years 1 months ago
2007
Springer
Most information about the external world comes from our visual brain. However, it is not clear how this information is processed. We will analyze brain responses using machine lea...
AI
2009
Springer
14 years 2 months ago
2009
Springer
In many practical domains, misclassification costs can differ greatly and may be represented by class ratios, however, most learning algorithms struggle with skewed class distrib...
AAAI
2006
13 years 9 months ago
2006
Rescaling is possibly the most popular approach to cost-sensitive learning. This approach works by rescaling the classes according to their costs, and it can be realized in differ...