COMPRESSED LEARNING FOR TEXT CATEGORIZATION
In text classification based on the bag-of-words (BoW) or similar representations, we usually have a large number of features, many of which are irrelevant (or even detrimental) for classification tasks. Recent results show that compressed learning (CL), i.e., learning in a domain of reduced dimensi...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Instituto Superior de Engenharia de Lisboa (ISEL)
2013-06-01
|
| Series: | ISEL Academic Journal of Electronics, Telecommunications and Computers |
| Subjects: | |
| Online Access: | http://journals.isel.pt/index.php/i-ETC/article/view/3 |