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Choosing the Most Effective Pattern Classification Model under Learning-Time Constraint
Nowadays, large datasets are common and demand faster and more effective pattern analysis techniques. However, methodologies to compare classifiers usually do not take into account the learning-time constraints required by applications. This work presents a methodology to compare classifiers with re...
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| 出版年: | PLoS One |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2015
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4483274/ https://ncbi.nlm.nih.gov/pubmed/26114552 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0129947 |
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