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Machine learning to detect schedules using spatiotemporal data of behavior: A proof of concept.

Traditionally, the experimental analysis of behavior has relied on the single discrete response paradigm (e.g., key pecks, lever presses, screen clicks) to identify behavioral patterns. However, the development and availability of new technology allow researchers to move beyond this paradigm and use...

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Publicado en:Journal of the Experimental Analysis of Behavior Vol. 124; no. 1; pp. 1 - 13
Autores principales: Lanovaz, Marc J., Hernandez, Varsovia, León, Alejandro
Formato: Artículo
Publicado: Wiley-Blackwell Jul2025
Materias:
Behavioral sciences
Machine learning
Artificial neural networks
Support vector machines
Geospatial data
Random forest algorithms
Logistic regression analysis
Pattern perception
Acceso en línea:Ver este registro en EBSCOhost