1-7 of 7
Keywords: Machine Learning
Close
Follow your search
Access your saved searches in your account

Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles
Collabra: Psychology (2024) 10 (1): 118840.
Published: 14 June 2024
...-olds, three male-typicality variables were formed empirically via supervised machine learning techniques. These variables were used to predict 9 th grade GPA derived from school records. “Male-typicality” based on personal values and cognitive skills was related to lower GPA, but male-typicality...
Includes: Supplementary data
Journal Articles
Collabra: Psychology (2024) 10 (1): 94304.
Published: 10 April 2024
... possess a substantial individual component. For instance, numerous attacks on abortion doctors or clinics are categorized as ’lone-wolf terrorism’. In this study, we sought to examine whether state-of-the-art Machine Learning tech- nology for text analysis could effectively discern the intent behind...
Includes: Supplementary data
Journal Articles
Collabra: Psychology (2023) 9 (1): 75214.
Published: 02 June 2023
... applied two machine learning algorithms suitable for high-dimensional data (i.e., data in which the number of predictors is larger than the number of observations) and evaluated prediction performance in a strict out-of-sample fashion. Finally, we used interpretable machine learning techniques to compare...
Includes: Supplementary data
Journal Articles
Journal Articles
Collabra: Psychology (2021) 7 (1): 18731.
Published: 25 January 2021
... in any medium, provided the original author and source are credited. emotions social network analysis online social networks machine learning data science mental health 1. [email protected] 17 9 2020 2 12 2020 Data collection was approved by the University...
Includes: Supplementary data
Journal Articles
Collabra: Psychology (2019) 5 (1): 50.
Published: 23 October 2019
...Russell Richie; Wanling Zou; Sudeep Bhatia; Simine Vazire; Simine Vazire Recent advances in machine learning, combined with the increased availability of large natural language datasets, have made it possible to uncover semantic representations that characterize what people know about and associate...
Journal Articles
Collabra: Psychology (2018) 4 (1): 37.
Published: 19 October 2018
... posits that modern human relationships are pleisiomorphically organized around body temperature regulation. In two studies ( N = 1755) designed to test the principles from this theory, we used supervised machine learning to identify social and non-social factors that relate to core body temperature...