Results 21 to 30 of about 50,340 (248)
Correspondence-free Associative Learning [PDF]
18th International Conference on Pattern Recognition (ICPR'06), 2006 We study the problem of learning a non-parametric mapping between two continuous spaces without having access to input-output pairs for training, but rather to groups of input-output pairs, where the correspondence structure within each group is unknown and where outliers may be present.
Erik Jonsson, Michael Felsberg
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Altered development of hippocampus-dependent associative learning following early-life adversity
Developmental Cognitive Neuroscience, 2019 Little is known about how childhood adversity influences the development of learning and memory and underlying neural circuits. We examined whether violence exposure in childhood influenced hippocampus-dependent associative learning and whether ...
Hilary K. Lambert +5 more
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Excessive teleological thinking is driven by aberrant associations and not by failure of reasoning
iScience, 2023 Summary: Teleological thought — the tendency to ascribe purpose to objects and events — is useful in some cases (encouraging explanation-seeking), but harmful in others (fueling delusions and conspiracy theories).
Joan Danielle K. Ongchoco +2 more
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Improved Learning Experience Memristor Model and Application as Neural Network Synapse
IEEE Access, 2019 This paper proposes a memristor model, named learning experience memristor (LEM), for using as synapse in the associative neural network. The properties of LEM are discussed under different external voltages.
Xiaohong Zhang, Keliu Long
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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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On Learning Associative Relationship Memory among Knowledge Concepts
International Journal of Networked and Distributed Computing (IJNDC), 2020 A high-level associative memory modelling method was developed to explore the realization of associative memory. In the proposed method, two stage procedures are progressively performed to construct a unified associative knowledge network.
Zhenping Xie, Kun Wang, Yuan Liu
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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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On Learning Associations of Faces and Voices [PDF]
, 2019 27 pages including the supplementary material; Accepted to ACCV ...
Kim, Changil +5 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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