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Interpreting support vector machine models for multivariate group wise analysis in neuroimaging
Machine learning based classification algorithms like support vector machines (SVMs) have shown great promise for turning a high dimensional neuroimaging data into clinically useful decision criteria. However, tracing imaging based patterns that contribute significantly to classifier decisions remai...
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| 出版年: | Med Image Anal |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2015
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4532600/ https://ncbi.nlm.nih.gov/pubmed/26210913 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2015.06.008 |
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