A carregar...
Feature Selection and Cancer Classification via Sparse Logistic Regression with the Hybrid L(1/2 +2) Regularization
Cancer classification and feature (gene) selection plays an important role in knowledge discovery in genomic data. Although logistic regression is one of the most popular classification methods, it does not induce feature selection. In this paper, we presented a new hybrid L(1/2 +2) regularization (...
Na minha lista:
| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2016
|
| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4852916/ https://ncbi.nlm.nih.gov/pubmed/27136190 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0149675 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|