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Learning repetition rules and non-adjacent dependencies from human actions in nine-month-old infants
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An efficient approach to categorizing association rules
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Meaningfulness, rules, and use-conditional semantics
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Transfer reinforcement learning for autonomous collision avoidance
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Improving professional learning for teachers
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A government of words: the social practice of judging in a rule-of-law system
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Statistical learning is a two-step process
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Emotional appraisal in deep reinforcement learning
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The sport of learning: the effect of college athletes' perception of identity on approach to learning
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Learning objective functions for autonomous motion generation
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Must everyone clean their plates? the relationship between culture, food rules and disordered eating amongst minority women
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Modeling motor memory to enhance multiple task learning
Mode of visual perceptual learning: augmented Hebbian learning explains the function of feedback and beyond
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Exploring complexity reduction in deep learning
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Bayesian methods for autonomous learning systems
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Machine learning in interacting multi-agent systems
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The brain and behavior of motor learning: the what, how and where
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Learning invariant features in modulatory neural networks through conflict and ambiguity
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Exploring the relationship of learning strategies and transformational leadership for business managers
A need for context: understanding the second language learning process
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Learning to detect and adapt to unpredicted changes
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fame-173-sermon
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Noise-robust spectro-temporal acoustic signature recognition using nonlinear Hebbian learning
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Supervised learning algorithms on factors impacting retweet
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Experimental and computational explorations of different forms of plasticity in motor learning and stroke recovery
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