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
  • 1 (literal)
Pagina fine
  • 8 (literal)
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
  • 77 (literal)
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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