Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings
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, includ...
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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| Edition: | 1st ed. 2019. |
| Series: | Springer Theses, Recognizing Outstanding Ph.D. Research,
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| Online Access: | Full Text via HEAL-Link |
Internet
Full Text via HEAL-LinkΒΚΠ - Πατρα: ALFd
| Call Number: |
330.01 BAU |
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| Copy 1 | Available |
ΒΚΠ - Πατρα: BSC
| Call Number: |
330.01 BAU |
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| Copy 2 | Available |
| Copy 3 | Available |