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Probability matching in perceptrons: Effects of conditional dependence and linear nonseparability
Probability matching occurs when the behavior of an agent matches the likelihood of occurrence of events in the agent’s environment. For instance, when artificial neural networks match probability, the activity in their output unit equals the past probability of reward in the presence of a stimulus....
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5315326/ https://www.ncbi.nlm.nih.gov/pubmed/28212422 http://dx.doi.org/10.1371/journal.pone.0172431 |