A carregar...
Controlled feature selection and compressive big data analytics: Applications to biomedical and health studies
The theoretical foundations of Big Data Science are not fully developed, yet. This study proposes a new scalable framework for Big Data representation, high-throughput analytics (variable selection and noise reduction), and model-free inference. Specifically, we explore the core principles of distri...
Na minha lista:
| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
|
| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6116997/ https://ncbi.nlm.nih.gov/pubmed/30161148 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0202674 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|