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Proportion of conflict, contingency learning, and recency effects in a Stroop task
Recent research on the relation between learning and cognitive control has assumed that conflict modulates learning, either by increasing arousal and hence improving learning in high-conflict situations, or by inducing ...
Dusky damselfish Stegastes fuscus relational learning: evidences from associative and spatial tasks
(The Fisheries Society of the British Isles, 2018)
Peer collaboration in childhood according to age, socioeconomic context and task
(Springer, 2015-03)
From a socio-constructivist approach, this work aimed to analyze the characteristics of peer collaboration in dyads of children according to age (4, 8, and 12 years old), socioeconomic context (advantaged socioeconomic ...
Inhibitory learning of phototaxis by honey bees in a passive-avoidance task
(Cold Spring Harbor Laboratory Press, 2019-09)
Honeybees are a standard model for the study of appetitive learning and memory. Yet, fewer attempts have been performedto characterize aversive learning and memory in this insect and uncover its molecular underpinnings. ...
Empirical evidence of key success factors in web-based corporate training
(2009)
Web-based corporate training is increasingly being used by virtue of the fact that companies need to train their personnel equitably by imparting large amounts of knowledge in an affordable manner. However, it is difficult ...
Semi-supervised learning to support the exploration of association rules
(SpringerCham, 2014)
In the last years, many approaches for post-processing association rules have been proposed. The automatics are simple to use, but they don’t consider users’ subjectivity. Unlike, the approaches that consider subjectivity ...
Semi-supervised learning to support the exploration of association rules
(2014-01-01)
In the last years, many approaches for post-processing association rules have been proposed. The automatics are simple to use, but they don't consider users' subjectivity. Unlike, the approaches that consider subjectivity ...
Post-processing association rules using networks and transductive learning.
(IEEE Systems, Man, and Cybernetics Society - IEEE SMCWayne State UniversityDetroit, 2014-12)
Association is widely used to find relations among items in a given database. However, finding the interesting patterns is a challenging task due to the large number of rules that are generated. Traditionally, this task ...