Results 11 to 20 of about 154,891 (246)
MODEL, GUESS, CHECK: Wordle as a primer on active learning for materials research
npj Computational Materials, 2022 Research and games both require the participant to make a series of choices. Active learning is a process borrowed from machine learning for algorithmically making choices that has become increasingly used to accelerate materials research.
Keith A. Brown
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Homomorphic Encryption-Based Federated Privacy Preservation for Deep Active Learning
Entropy, 2022 Active learning is a technique for maximizing performance of machine learning with minimal labeling effort and letting the machine automatically and adaptively select the most informative data for labeling.
Hendra Kurniawan, Masahiro Mambo
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Machine learning of molecular properties: Locality and active learning [PDF]
The Journal of Chemical Physics, 2018 In recent years, the machine learning techniques have shown great potent1ial in various problems from a multitude of disciplines, including materials design and drug discovery. The high computational speed on the one hand and the accuracy comparable to that of density functional theory on another hand make machine learning algorithms efficient for high-
Konstantin Gubaev +2 more
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A Comparative Analysis of Active Learning for Rumor Detection on Social Media Platforms
Applied Sciences, 2023 In recent years, the ubiquity of social networks has transformed them into essential platforms for information dissemination. However, the unmoderated nature of social networks and the advent of advanced machine learning techniques, including generative ...
Feng Yi +3 more
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A Review on Machine Learning Styles in Computer Vision—Techniques and Future Directions
IEEE Access, 2022 Computer applications have considerably shifted from single data processing to machine learning in recent years due to the accessibility and availability of massive volumes of data obtained through the internet and various sources.
Supriya V. Mahadevkar +6 more
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Human Gait Activity Recognition Machine Learning Methods
Sensors, 2023 Human gait activity recognition is an emerging field of motion analysis that can be applied in various application domains. One of the most attractive applications includes monitoring of gait disorder patients, tracking their disease progression and the modification/evaluation of drugs.
Jan Slemenšek +6 more
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Learning to Actively Learn Neural Machine Translation [PDF]
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018 Traditional active learning (AL) methods for machine translation (MT) rely on heuristics. However, these heuristics are limited when the characteristics of the MT problem change due to e.g. the language pair or the amount of the initial bitext. In this paper, we present a framework to learn sentence selection strategies for neural MT.
Ming Liu +2 more
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Small data machine learning in materials science
npj Computational Materials, 2023 This review discussed the dilemma of small data faced by materials machine learning. First, we analyzed the limitations brought by small data. Then, the workflow of materials machine learning has been introduced.
Pengcheng Xu +3 more
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Active learning machine learns to create new quantum experiments [PDF]
Proceedings of the National Academy of Sciences, 2018 Significance Quantum experiments push the envelope of our understanding of fundamental concepts in quantum physics. Modern experiments have exhaustively probed the basic notions of quantum theory. Arguably, further breakthroughs require the tackling of complex quantum phenomena and consequently require complex experiments and involved ...
Alexey A. Melnikov +6 more
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How Much a Model be Trained by Passive Learning Before Active Learning?
IEEE Access, 2022 Most pool-based active learning studies have focused on query strategy for active learning. In this paper, via empirical analysis on the effect of passive learning before starting active learning, we reveal that the amount of data acquired by passive ...
Dae Ung Jo, Sangdoo Yun, Jin Young Choi
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