Results 21 to 30 of about 6,400,099 (241)
Looking at the class associative classification training algorithm [PDF]
, 2007 Associative classification (AC) is a branch in data mining that utilises association rule discovery methods in classification problems. In this paper, we propose a new training method called Looking at the Class (LC), which can be adapted by any rule ...
McCluskey, T.L. +2 more
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Learning in university and dual process theory of reasoning
Teoría de la Educación: Revista Interuniversitaria, 2014 In this paper, I argue that there are relationships between two kinds of learning, associative learning and comprensive learning, and the two reasoning systems described by dual process theory.
Miguel LÓPEZ ASTORGA
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European Journal of Psychotraumatology, 2022 Background: The COVID-19 outbreak in early 2020 was associated with an immediate increase in mental health problems in a significant percentage of the general population.
Edith Friesen +3 more
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Changes to Associative Learning Processes in Later Life [PDF]
, 2007 A thesis submitted in partial fulfilment of the requirements of the University of Wolverhampton for the degree of Doctor of PhilosophyThe present research sought to describe and explain age related changes to associative learning processes.
Walford, Edward
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A Unifying Probabilistic View of Associative Learning. [PDF]
PLoS Computational Biology, 2015 Two important ideas about associative learning have emerged in recent decades: (1) Animals are Bayesian learners, tracking their uncertainty about associations; and (2) animals acquire long-term reward predictions through reinforcement learning.
Samuel J Gershman
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High-throughput automated methods for classical and operant conditioning of Drosophila larvae
eLife, 2022 Learning which stimuli (classical conditioning) or which actions (operant conditioning) predict rewards or punishments can improve chances of survival.
Elise C Croteau-Chonka +9 more
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Frontiers in Cellular Neuroscience, 2017 Functional plasticity at cortical synapses and neurons is presumably associated with learning and memory. Additionally, coordinated refinement between glutamatergic and GABAergic neurons occurs in associative memory.
Xin Zhao +13 more
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A dual role for prediction error in associative learning [PDF]
, 2009 Confronted with a rich sensory environment, the brain must learn statistical regularities across sensory domains to construct causal models of the world.
Friston, K J +10 more
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Contextual effects in sensorimotor adaptation adhere to associative learning rules
eLife, 2022 Traditional associative learning tasks focus on the formation of associations between salient events and arbitrary stimuli that predict those events. This is exemplified in cerebellar-dependent delay eyeblink conditioning, where arbitrary cues such as a ...
Guy Avraham +4 more
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Age-related associative deficits are absent with nonwords [PDF]
, 2011 Words and nonwords were used as stimuli to assess item and associative recognition memory performance in young and older adults. Participants were presented with pairs of items and then tested on both item memory (old/new items) and associative memory ...
Elizabeth A. Maylor +3 more
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