ロード中...
Sparse feature learning for multi-class Parkinson’s disease classification
This paper solves the multi-class classification problem for Parkinson’s disease (PD) analysis by a sparse discriminative feature selection framework. Specifically, we propose a framework to construct a least square regression model based on the Fisher’s linear discriminant analysis (LDA) and locali...
保存先:
| 出版年: | Technol Health Care |
|---|---|
| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
IOS Press
2018
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6004973/ https://ncbi.nlm.nih.gov/pubmed/29710748 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3233/THC-174548 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|