Results 81 to 90 of about 11,040,138 (216)
Frontiers in Psychology, 2018 Introduction: Consolidation is defined as the time necessary for memory stabilization after learning. In the present study we focused on effects of interference during the first 12 consolidation minutes after learning.
Zrinka Sosic-Vasic +7 more
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Grounding Language for Transfer in Deep Reinforcement Learning
, 2018 In this paper, we explore the utilization of natural language to drive transfer for reinforcement learning (RL). Despite the wide-spread application of deep RL techniques, learning generalized policy representations that work across domains remains a ...
Barzilay, Regina +2 more
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Transfer learning for radio galaxy classification
, 2019 In the context of radio galaxy classification, most state-of-the-art neural network algorithms have been focused on single survey data. The question of whether these trained algorithms have cross-survey identification ability or can be adapted to develop
Leahy, J. P. +2 more
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GMS Zeitschrift für Medizinische Ausbildung, 2015 Objective: Already during their studies, medical students should intensively train their clinical thinking and practice skills, enhancing their clinical expertise in theoretical and practical terms.Methods: Based on the findings of educational research ...
Rotthoff, Thomas +3 more
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Improving speaker turn embedding by crossmodal transfer learning from face embedding
, 2017 Learning speaker turn embeddings has shown considerable improvement in situations where conventional speaker modeling approaches fail. However, this improvement is relatively limited when compared to the gain observed in face embedding learning, which ...
Le, Nam, Odobez, Jean-Marc
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Integrated Leadership Development Programmes: Are they Effective and What Role Does Coaching Play? [PDF]
International Journal of Evidence Based Coaching and Mentoring, 2013 Integrated Leadership Development Programmes (IDLPs) have become increasingly popular in recent years. These programmes combine different elements such as 360° feedback, experiential learning, group coaching, executive coaching and action learning, over ...
David Coates
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Tecnoscienza, 2020 Early progressive and sociocultural theories in education share unexpected similarities with recent research concerned with the sociomateriality of learning settings.
Michael Schlauch
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Adaptive Transfer Learning: a simple but effective transfer learning
, 2021 Transfer learning (TL) leverages previously obtained knowledge to learn new tasks efficiently and has been used to train deep learning (DL) models with limited amount of data. When TL is applied to DL, pretrained (teacher) models are fine-tuned to build domain specific (student) models.
Lee, Jung H +9 more
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On universal transfer learning [PDF]
Theoretical Computer Science, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Q-learning model of insight problem solving and the effects of learning traits on creativity
Frontiers in PsychologyDespite the fact that insight is a crucial component of creative thought, the means by which it is cultivated remain unknown. The effects of learning traits on insight, specifically, has not been the subject of investigation in pertinent research.
Tsutomu Harada
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