Results 31 to 40 of about 1,961,679 (175)
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer
, 2020 Transfer Learning (TL) has shown great potential to accelerate Reinforcement Learning (RL) by leveraging prior knowledge from past learned policies of relevant tasks. Existing transfer approaches either explicitly computes the similarity between tasks or
Cheng, Yingfeng +10 more
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Exploring Metacognition as Support for Learning Transfer
Teaching & Learning Inquiry: The ISSOTL Journal, 2017 The ability to transfer learning to new situations lies at the heart of lifelong learning and the employability of university graduates. Because students are often unaware of the importance of learning transfer and staff do not always explicitly ...
Lauren Scharff +6 more
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Climate ServicesCommunities in drought-prone areas continued to fall into new vulnerability traps due to increasing water demand and stress. The study assessed groundwater development and management constraints in the Chiredzi and Zvishavane districts of Zimbabwe ...
Pascal Manyakaidze +2 more
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Learning More Universal Representations for Transfer-Learning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
Tamaazousti, Youssef +4 more
openaire +4 more sources
Ensemble Transfer Learning Algorithm
IEEE Access, 2018 Transfer learning and ensemble learning are the new trends for solving the problem that training data and test data have different distributions. In this paper, we design an ensemble transfer learning framework to improve the classification accuracy when
Xiaobo Liu +4 more
doaj +1 more source
Constrained Deep Transfer Feature Learning and its Applications
, 2017 Feature learning with deep models has achieved impressive results for both data representation and classification for various vision tasks. Deep feature learning, however, typically requires a large amount of training data, which may not be feasible for ...
Ji, Qiang, Wu, Yue
core +1 more source
Learning strategies scale: adaptation to Portuguese and factor structure [PDF]
, 2018 Since learning strategies seem to be an important set of variables to explain the effectiveness of training and e-learning in organizations is here to stay, this paper aimed to analyze the factor structure and psychometric properties of a Learning ...
Martins, Lara Barros +2 more
core +2 more sources
Science communication on TikTok: toward transformative and post-normal science
Frontiers in CommunicationScience communication on social media is becoming increasingly important in order to promote an open dialog between science and the public. This raises the question of how to present topics related to climate change in a way that is both scientific and ...
Claudia Frick +2 more
doaj +1 more source
Smart City Development with Urban Transfer Learning
, 2018 Nowadays, the smart city development levels of different cities are still unbalanced. For a large number of cities which just started development, the governments will face a critical cold-start problem: 'how to develop a new smart city service with ...
Guo, Bin, Wang, Leye, Yang, Qiang
core +2 more sources
Transfer Learning for Speech and Language Processing [PDF]
, 2015 Transfer learning is a vital technique that generalizes models trained for one setting or task to other settings or tasks. For example in speech recognition, an acoustic model trained for one language can be used to recognize speech in another language ...
Wang, Dong, Zheng, Thomas Fang
core +1 more source