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Knowledge discovery by accuracy maximization
Here we describe KODAMA (knowledge discovery by accuracy maximization), an unsupervised and semisupervised learning algorithm that performs feature extraction from noisy and high-dimensional data. Unlike other data mining methods, the peculiarity of KODAMA is that it is driven by an integrated proce...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
National Academy of Sciences
2014
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3986136/ https://ncbi.nlm.nih.gov/pubmed/24706821 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1220873111 |
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