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Fast and Accurate Learning When Making Discrete Numerical Estimates
Many everyday estimation tasks have an inherently discrete nature, whether the task is counting objects (e.g., a number of paint buckets) or estimating discretized continuous variables (e.g., the number of paint buckets needed to paint a room). While Bayesian inference is often used for modeling est...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4829178/ https://www.ncbi.nlm.nih.gov/pubmed/27070155 http://dx.doi.org/10.1371/journal.pcbi.1004859 |