A machine learning model with human cognitive biases capable of learning from small and biased datasets
Abstract 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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2018-05-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-018-25679-z |