Cargando…
Hands-on training about overfitting
Overfitting is one of the critical problems in developing models by machine learning. With machine learning becoming an essential technology in computational biology, we must include training about overfitting in all courses that introduce this technology to students and practitioners. We here propo...
Autores principales: | Demšar, Janez, Zupan, Blaž |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7932115/ https://www.ncbi.nlm.nih.gov/pubmed/33661899 http://dx.doi.org/10.1371/journal.pcbi.1008671 |
Ejemplares similares
-
GenePath: from mutations to genetic networks and back
por: Juvan, Peter, et al.
Publicado: (2005) -
FragViz: visualization of fragmented networks
por: Štajdohar, Miha, et al.
Publicado: (2010) -
Does replication groups scoring reduce false positive rate in SNP interaction discovery?
por: Toplak, Marko, et al.
Publicado: (2010) -
The overfitted brain hypothesis
por: Prince, Luke Y., et al.
Publicado: (2021) -
scOrange—a tool for hands-on training of concepts from single-cell data analytics
por: Stražar, Martin, et al.
Publicado: (2019)