Kupinski et al., 1999 - Google Patents
Multiobjective genetic optimization of diagnostic classifiers with implications for generating receiver operating characteristic curvesKupinski et al., 1999
View PDF- Document ID
- 6331566336684388831
- Author
- Kupinski M
- Anastasio M
- Publication year
- Publication venue
- IEEE Transactions on Medical Imaging
External Links
Snippet
It is well understood that binary classifiers have two implicit objective functions (sensitivity and specificity) describing their performance. Traditional methods of classifier training attempt to combine these two objective functions (or two analogous class performance …
- 238000005457 optimization 0 title abstract description 70
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6279—Classification techniques relating to the number of classes
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- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
- G06K9/6269—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on the distance between the decision surface and training patterns lying on the boundary of the class cluster, e.g. support vector machines
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