Applying machine learning for automated classification of biomedical data in subject-independent settings
Pham, Thuy T.;
(Springer Cham, 2019)
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| This book describes efforts to improve subject-independent automated classification techniques using a better feature extraction method and a more efficient model of classification. It evaluates three popular saliency criteria for feature selection, showing that they share common limitations, including time-consuming and subjective manual de-facto standard practice, and that existing automated efforts have been predominantly used for subject dependent setting. It then proposes a novel approach for anomaly detection, demonstrating its effectiveness and accuracy for automated classification of biomedical data, and arguing its applicability to a wider range of unsupervised machine learning applications in subject-independent settings. |
 Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings.pdf :: Unduh
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| No. Panggil : | e20502439 |
| Entri utama-Nama orang : | |
| Subjek : | |
| Penerbitan : | Switzerland: Springer Cham, 2019 |
| Sumber Pengatalogan: | LibUI eng rda |
| Tipe Konten: | text |
| Tipe Media: | computer |
| Tipe Pembawa: | online resource |
| Deskripsi Fisik: | xv, 107 pages : illustration |
| Tautan: | |
| Lembaga Pemilik: | |
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| No. Panggil | No. Barkod | Ketersediaan |
|---|---|---|
| e20502439 | 20-23-64047103 | TERSEDIA |
| Ulasan: |
| Tidak ada ulasan pada koleksi ini: 9999920521326 |
