Novel application of heuristic optimisation enables the creation and thorough evaluation of robust support vector machine ensembles for machine learning applications
Today’s researchers have access to an unprecedented range of powerful machine learning tools with which to build models for classifying samples according to their metabolomic profile (e.g. separating diseased samples from healthy controls). However, such powerful tools need to be used with caution a...
| Main Authors: | , |
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| Format: | Online |
| Language: | English |
| Published: |
Springer US
2015
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4655007/ |