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Self-incremental learning vector quantization with human cognitive biases
Human beings have adaptively rational cognitive biases for efficiently acquiring concepts from small-sized datasets. With such inductive biases, humans can generalize concepts by learning a small number of samples. By incorporating human cognitive biases into learning vector quantization (LVQ), a pr...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7887244/ https://ncbi.nlm.nih.gov/pubmed/33594132 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-83182-4 |
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