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...
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| Formato: | article |
| Idioma: | eng |
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2013
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| Texto completo: | https://doi.org/10.34629/ipl.isel.i-ETC.3 |
| País: | Portugal |
| Oai: | oai:i-ETC.journals.isel.pt:article/3 |