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Error and optimism bias regularization
Article describes how in Machine Learning, prediction quality is usually measured using different techniques and evaluation methods. This paper will introduce a simple regularization term to manage the number of over-predicted/under-predicted instances in a regression model.
Date:
January 28, 2023
Creator:
Sohaee, Nassim
System:
The UNT Digital Library
When expectation fails and motivation prevails: the mediating role of awareness in bridging the expectancy-capability gap in mobile identity protection
Article describes how identity theft poses a significant threat to mobile users, yet mobile identity protection is often overlooked in cybersecurity literature. This study adopts a mixed-methods approach and draws on expectancy-value theory to address these gaps and explore the impact of expectations, capabilities, motivational values, technical measures, and awareness on individuals' intentions to achieve mobile identity protection.
Date:
September 19, 2023
Creator:
Alhelaly, Yasser; Dhillon, Gurpreet & Oliveira, Tiago
System:
The UNT Digital Library