Support Vector Machine Implementations for Classification & Clustering
<p>Abstract</p> <p>Background</p> <p>We describe Support Vector Machine (SVM) applications to classification and clustering of channel current data. SVMs are variational-calculus based methods that are constrained to have structural risk minimization (SRM), i.e., they p...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2006-09-01
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| Series: | BMC Bioinformatics |