Identification of attribute interactions and generation of globally relevant continuous features in machine learning
Datasets found in real world applications of machine learning are often characterized by low-level attributes with important interactions among them. Such interactions may increase the complexity of the learning task by limiting the usefulness of the attributes to dispersed regions of the representa...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | en |
| Published: |
University of Ottawa (Canada)
2013
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10393/29029 http://dx.doi.org/10.20381/ruor-12739 |