Pregled bibliografske jedinice broj: 552986
Data Classification Based on Machine Learning
Data Classification Based on Machine Learning // EMBO YIP PhD Course 2011, Spotlights on Current Biology
Heidelberg, Njemačka, 2011. (poster, nije recenziran, neobjavljeni rad, znanstveni)
CROSBI ID: 552986 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Data Classification Based on Machine Learning
Autori
Pinto, Sofia ; Vlahoviček, Kristian
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, neobjavljeni rad, znanstveni
Skup
EMBO YIP PhD Course 2011, Spotlights on Current Biology
Mjesto i datum
Heidelberg, Njemačka, 26.09.2011. - 01.10.2011
Vrsta sudjelovanja
Poster
Vrsta recenzije
Nije recenziran
Ključne riječi
GWAS; glycosylation; SNPs; machine learning
Sažetak
Machine learning is a part of artificial intelligence aiming to develop computer algorithms which will be able to automate decisions by learning from provided examples. Support vector machines and Random forests are two machine learning approaches widely used in the data classification problem. Data classification attempts to assign a set of observations to their known groups based on general rules extracted from the characteristics describing the observations. The learned rules are applied afterwards to predict to which group a new observation belongs.
Izvorni jezik
Engleski
Znanstvena područja
Biologija
POVEZANOST RADA
Projekti:
119-0982913-1211 - Računalna genomika mikrobnih okoliša i bioinformatika ekstremofila (Vlahoviček, Kristian, MZOS ) ( CroRIS)
Ustanove:
Prirodoslovno-matematički fakultet, Zagreb
Profili:
Kristian Vlahoviček
(autor)
