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A Novel Boolean Kernels Family for Categorical Data †
Kernel based classifiers, such as SVM, are considered state-of-the-art algorithms and are widely used on many classification tasks. However, this kind of methods are hardly interpretable and for this reason they are often considered as black-box models. In this paper, we propose a new family of Bool...
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| Veröffentlicht in: | Entropy (Basel) |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7512961/ https://ncbi.nlm.nih.gov/pubmed/33265534 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e20060444 |
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