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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...

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Detalles Bibliográficos
Autores principales: Taniguchi, Hidetaka, Sato, Hiroshi, Shirakawa, Tomohiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
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