ロード中...
Unsupervised Spatiotemporal fMRI Data Analysis using Support Vector Machines
In this work we present a new support vector machine (SVM)-based method for fMRI data analysis. SVM has been shown to be a powerful, efficient data-driven tool in pattern recognition, and has been applied to the supervised classification of brain cognitive states in fMRI experiments. We examine the...
保存先:
| 主要な著者: | , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2009
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2807732/ https://ncbi.nlm.nih.gov/pubmed/19344772 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2009.03.054 |
| 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!
|