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A machine learning model with human cognitive biases capable of learning from small and biased datasets
Human learners can generalize a new concept from a small number of samples. In contrast, conventional machine learning methods require large amounts of data to address the same types of problems. Humans have cognitive biases that promote fast learning. Here, we developed a method to reduce the gap b...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5943317/ https://www.ncbi.nlm.nih.gov/pubmed/29743630 http://dx.doi.org/10.1038/s41598-018-25679-z |