Cargando…
Learning by aggregating experts and filtering novices: a solution to crowdsourcing problems in bioinformatics
BACKGROUND: In many biomedical applications, there is a need for developing classification models based on noisy annotations. Recently, various methods addressed this scenario by relaying on unreliable annotations obtained from multiple sources. RESULTS: We proposed a probabilistic classification al...
Autores principales: | Zhang, Ping, Cao, Weidan, Obradovic, Zoran |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3848820/ https://www.ncbi.nlm.nih.gov/pubmed/24268030 http://dx.doi.org/10.1186/1471-2105-14-S12-S5 |
Ejemplares similares
-
Comparing Business Experts and Novices in Complex Problem Solving
por: Güss, C. Dominik, et al.
Publicado: (2017) -
Modeling crowdsourcing as collective problem solving
por: Guazzini, Andrea, et al.
Publicado: (2015) -
Corrigendum: Modeling crowdsourcing as collective problem solving
por: Guazzini, Andrea, et al.
Publicado: (2016) -
Joint action coordination in expert-novice pairs: Can experts predict novices’ suboptimal timing?
por: Wolf, Thomas, et al.
Publicado: (2018) -
Aggregating labels in crowdsourcing Data
por: Ms. PRIISALU, Maria
Publicado: (2015)