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The Generalization Patterns of Turkish Aorist in L1 Turkish Speakers
Dilbilim Araştırmaları Dergisi, 2022 The morphological processing and representation of regular and irregular inflected forms have been investigated in many European languages and the results indicate that L1 speakers usually employ two distinct mechanisms; namely rule-based and associative.
Serkan UYGUN
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Evaluating Domain Randomization in Deep Reinforcement Learning Locomotion Tasks
Mathematics, 2023 Domain randomization in the context of Reinforcement learning (RL) involves training RL agents with randomized environmental properties or parameters to improve the generalization capabilities of the resulting agents.
Oladayo S. Ajani +2 more
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Frontiers in Psychiatry, 2018 Extinction treatments decrease fear via repeated exposures to the conditioned stimulus (CS) and are associated with a return of fear. Alternatively, fear can be reduced via reductions in the perceived intensity of the unconditioned stimulus (US), e.g ...
Arne Leer, Kim Haesen, Bram Vervliet
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Robustness and Generalization [PDF]
, 2010 We derive generalization bounds for learning algorithms based on their robustness: the property that if a testing sample is "similar" to a training sample, then the testing error is close to the training error.
A. Ben-Tal +57 more
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Enhancing functional thinking: Identifying the prior schemas of seventh grade students in generalization of two-variable figural patterns [PDF]
Fanāvarī-i āmūzish, 2020 Background and Objectives: The figural patterns have a unique capacity to enhance functional thinking. The patterns generalization in school mathematics is considered as a way to promote functional thinking.
R. Afkhami, N. Asghary, A. Medghalchi
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One Parameter Family of Jordanian Twists [PDF]
, 2019 We propose an explicit generalization of the Jordanian twist proposed in $r$-symmetrized form by Giaquinto and Zhang. It is proved that this generalization satisfies the 2-cocycle condition. We present explicit formulas for the corresponding star product
Meljanac, Daniel +3 more
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Emulating quantum dynamics with neural networks via knowledge distillation
Frontiers in Materials, 2023 We introduce an efficient training framework for constructing machine learning-based emulators and demonstrate its capability by training an artificial neural network to predict the time evolution of quantum wave packets propagating through a potential ...
Yu Yao +6 more
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Generalization Error in Deep Learning [PDF]
, 2019 Deep learning models have lately shown great performance in various fields such as computer vision, speech recognition, speech translation, and natural language processing.
D McAllester +17 more
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Frontiers in Aging Neuroscience, 2021 Skill transfer from trained balance exercises is critical to reduce the rate of falls in older adults, who rely more on vision to control postural responses due to age-dependent sensory reweighting.
Yi-Ching Chen +4 more
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Generalization of color by chickens: experimental observations and a Bayesian model [PDF]
, 2007 Sensory generalization influences animals' responses to novel stimuli. Because color forms a perceptual continuum, it is a good subject for studying generalization. Moreover, because different causes of variation in spectral signals, such as pigmentation,
Baddeley, R J, Jones, C D, Osorio, D
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