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Global Optimization Ensemble Model for Classification Methods
Supervised learning is the process of data mining for deducing rules from training datasets. A broad array of supervised learning algorithms exists, every one of them with its own advantages and drawbacks. There are some basic issues that affect the accuracy of classifier while solving a supervised...
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| Päätekijät: | , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Hindawi Publishing Corporation
2014
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4030569/ https://ncbi.nlm.nih.gov/pubmed/24883382 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/313164 |
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