http://www.cnr.it/ontology/cnr/individuo/prodotto/ID77850
Prior knowledge in the classification of biomedical data (Contributo in atti di convegno)
- Type
- Label
- Prior knowledge in the classification of biomedical data (Contributo in atti di convegno) (literal)
- Anno
- 2010-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1007/978-3-642-14746-3_1 (literal)
- Alternative label
Abbate, Danilo 1; De Asmundis, Roberta 1; Guarracino, Mario Rosario 1 (2010)
Prior knowledge in the classification of biomedical data
in 1st International Workshop on Soft Methods in Probability and Statistics (SMPS 2002), WARSAW, POLAND, September 2002, WARSAW, 2002
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Abbate, Danilo 1; De Asmundis, Roberta 1; Guarracino, Mario Rosario 1 (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- Combining Soft Computing and Statistical Methods in Data Analysis (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
- 5th International Conference on Soft Methods in Probability and Statistics (SMPS 2010) (literal)
- Note
- ISI Web of Science (WOS) (literal)
- Scopu (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- 1. CNR - ICAR, High Performance Comp & Networking Inst, I-80131 Naples, Italy (literal)
- Titolo
- Prior knowledge in the classification of biomedical data (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-3-642-14746-3 (literal)
- Abstract
- Standard data analysis techniques for biomedical problems cannot
take into account existing prior knowledge, and available literature results
cannot be incorporated in further studies. In this work we review some
techniques that incorporate prior knowledge in supervised classification algorithms
as constraints to the underlying optimization and linear algebra
problems. We analyze a case study, to show the advantage of such techniques
in terms of prediction accuracy. (literal)
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