Learning to recognise : a study on one-class classification and active learning (2006)
Abstract / truncated to 115 words
The thesis treats classification problems which are undersampled or where there exist an unbalance between classes in the sampling. The thesis is divided into three parts. The first two parts treat the problem of one-class classification. In the one-class classification problem, it is assumed that only examples of one of the classes, the target class, are available. The fact that no (or almost no) examples of other classes are available makes the one-class classification an example of an extremely unbalance problem. Therefore, such problem can not be described accurately by existing multi-class classifiers. However, a need to solve such classification rises from many theoretical and practical problems, e.g. the concept learning, machine fault detection and ...
pattern recognition – machine learning
Information
- Author
- Juszczak, Piotr
- Institution
- Delft University of Technology
- Supervisors
- Publication Year
- 2006
- Upload Date
- Sept. 9, 2008
First few pages / click to enlarge
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