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Machine Learning for User Learning
2017To guide users through their business application’s functionality requires an intelligent digital assistance system to adapt to the user’s stage of expertise. Drawing on event segmentation theory and knowledge space theory, we propose to model the users’ domain specific knowledge and their learning process dynamically in the interaction between system ...
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Machine learning for microbiologists
Nature Reviews Microbiology, 2023Andrew Maltez Thomas +2 more
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Machine learning sheds light on microbial dark proteins
Nature Reviews Microbiology, 2023Crysten Blaby +2 more
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On the Efficiency of Learning Machines
IEEE Transactions on Systems Science and Cybernetics, 1967The efficiency of the learning process is investigated in terms of the efficiency of abstract learning machines. The measure of efficiency defined gives an estimate of the minimum period for a system to absorb a given quantity of information, makes possible a quantitative comparison of different learning systems, and establishes a quantity which ...
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Learning Analytics and Machine Learning
2022 5th International Conference on Signal Processing and Information Security (ICSPIS), 2022Aisha Almaazmi +4 more
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Machine learning methods to model multicellular complexity and tissue specificity
Nature Reviews Materials, 2021Olga Troyanskaya +2 more
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