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Science Education International, 2022 The concept of self-directedness is a missing link in South African science classrooms, and as a result, science teachers are often not self-directed in employing innovative teaching and learning strategies such as blended problem-based learning (BPBL ...
Judicial Sebatana , Washington Dudu
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Enabling Self-Directed Academic and Personal Wellbeing Through Cognitive Education
Frontiers in Psychology, 2022 BackgroundThe international crisis of declining learner wellbeing exacerbated by the COVID-19 pandemic with its devastating effects on physical health and wellbeing, impels the prioritization of initiatives for specifically enabling academic and personal
Gideon P. Van Tonder +2 more
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A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings [PDF]
Annual Meeting of the Association for Computational Linguistics, 2018 Recent work has managed to learn cross-lingual word embeddings without parallel data by mapping monolingual embeddings to a shared space through adversarial training. However, their evaluation has focused on favorable conditions, using comparable corpora
Mikel Artetxe +2 more
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All-optical spiking neurosynaptic networks with self-learning capabilities [PDF]
Nature, 2019 Software implementations of brain-inspired computing underlie many important computational tasks, from image processing to speech recognition, artificial intelligence and deep learning applications.
J. Feldmann +4 more
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CutPaste: Self-Supervised Learning for Anomaly Detection and Localization [PDF]
Computer Vision and Pattern Recognition, 2021 We aim at constructing a high performance model for defect detection that detects unknown anomalous patterns of an image without anomalous data. To this end, we propose a two-stage framework for building anomaly detectors using normal training data only.
Chun-Liang Li +3 more
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Self-learning emulators and eigenvector continuation
Physical Review Research, 2022 Emulators that can bypass computationally expensive scientific calculations with high accuracy and speed can enable new studies of fundamental science as well as more potential applications. In this work we discuss solving a system of constraint equations efficiently using a self-learning emulator.
Avik Sarkar, Dean Lee
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WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing [PDF]
IEEE Journal on Selected Topics in Signal Processing, 2021 Self-supervised learning (SSL) achieves great success in speech recognition, while limited exploration has been attempted for other speech processing tasks.
Sanyuan Chen +16 more
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Toward a Self-Learned Smart Contracts [PDF]
2018 IEEE 15th International Conference on e-Business Engineering (ICEBE), 2018 In recent years, Blockchain technology has been highly valued and disruptive. Several researches have presented a merge between blockchain and current application i.e. medical, supply chain, and e-commerce. Although Blockchain architecture does not have a standard yet, IBM, MS, AWS offer BaaS (Blockchain as a Service). In addition to the current public
Ahmed S. Almasoud +2 more
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Self-Learning Classifier for Internet traffic [PDF]
2013 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2013 Network visibility is a critical part of traffic engineering, network management, and security. Recently, unsupervised algorithms have been envisioned as a viable alternative to automatically identify classes of traffic. However, the accuracy achieved so far does not allow to use them for traffic classification in practical scenario.
GRIMAUDO, LUIGI +3 more
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DÏoT: A Federated Self-learning Anomaly Detection System for IoT [PDF]
IEEE International Conference on Distributed Computing Systems, 2018 IoT devices are increasingly deployed in daily life. Many of these devices are, however, vulnerable due to insecure design, implementation, and configuration.
T. Nguyen +5 more
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