Učitavanje...
Sparse generalized linear model with L(0) approximation for feature selection and prediction with big omics data
BACKGROUND: Feature selection and prediction are the most important tasks for big data mining. The common strategies for feature selection in big data mining are L (1), SCAD and MC+. However, none of the existing algorithms optimizes L (0), which penalizes the number of nonzero features directly. RE...
Spremljeno u:
| Izdano u: | BioData Min |
|---|---|
| Glavni autori: | , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
BioMed Central
2017
|
| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5735537/ https://ncbi.nlm.nih.gov/pubmed/29270229 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13040-017-0159-z |
| Oznake: |
Dodaj oznaku
Bez oznaka, Budi prvi tko označuje ovaj zapis!
|