In this paper, we propose a lazy learning strategy for building classification learning models. Instead of learning the models with the whole training data set before observing the new instance, a selection of patterns is made depending on the new query received and a classification model is learnt
β¦ LIBER β¦
A genetic approach for building different alphabets for peptide and protein classification
β Scribed by Loris Nanni; Alessandra Lumini
- Book ID
- 115001478
- Publisher
- BioMed Central
- Year
- 2008
- Tongue
- English
- Weight
- 664 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1471-2105
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