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Toward a General-Purpose Heterogeneous Ensemble for Pattern Classification
We perform an extensive study of the performance of different classification approaches on twenty-five datasets (fourteen image datasets and eleven UCI data mining datasets). The aim is to find General-Purpose (GP) heterogeneous ensembles (requiring little to no parameter tuning) that perform compet...
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| I publikationen: | Comput Intell Neurosci |
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| Huvudupphovsmän: | , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Hindawi Publishing Corporation
2015
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4564633/ https://ncbi.nlm.nih.gov/pubmed/26413089 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2015/909123 |
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