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SVM-RFE: selection and visualization of the most relevant... | ResearchHub
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SVM-RFE: selection and visualization of the most relevant features through non-linear kernels
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Authors
Héctor Sanz
4 more
Héctor Sanz
•
Clarissa Valim
2 more
•
Ferrán Reverter
Published
November 19, 2018
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Journal
BMC Bioinformatics
Topics
Biology
Machine Learning
Computer Science
Mathematics
Artificial Intelligence
Show all topics
DOI
10.1186/s12859-018-2451-4
License
CC-BY
Other Formats
PDF
Supporters
Support the authors with ResearchCoin
Tip RSC
Journal
BMC Bioinformatics
Topics
Biology
Machine Learning
Computer Science
Mathematics
Artificial Intelligence
Show all topics
DOI
10.1186/s12859-018-2451-4
License
CC-BY
Other Formats
PDF