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A simple model for learning in volatile environments
Sound principles of statistical inference dictate that uncertainty shapes learning. In this work, we revisit the question of learning in volatile environments, in which both the first and second-order statistics of observations dynamically evolve over time. We propose a new model, the volatile Kalma...
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| Vydáno v: | PLoS Comput Biol |
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| Hlavní autoři: | , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7329063/ https://ncbi.nlm.nih.gov/pubmed/32609755 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1007963 |
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