Machine learning methods (tokenization) in marketing research by E. V. Ganebnykh, N. K. Savelieva, A. A. Sozinova, O. V. Fokina, I. G. Altsybeeva

Subjects: “…machine learning…”
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EFH:an online unsupervised hash learning algorithm by Zhenyu SHOU, Jiangbo QIAN, Yihong DONG, Huahui CHEN

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Federated Learning Based on OPTICS Clustering Optimization by Chenyang Lu, Su Deng, Yahui Wu, Haohao Zhou, Wubin Ma

“…Federated learning (FL) has emerged for solving the problem of data fragmentation and isolation in machine learning based on privacy protection. …”
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Imitation and the development of infant learning, memory, and categorisation by Emily JH Jones, Jane S Herbert

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LEARNING ANALYTIC TO FACILITATE GROUP NETWORK COLLABORATION by Evgeny D. Patarakin

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Joyful Encounters: Learning to Play Well with Machines by Sandry Eleanor, Peaty Gwyneth

“…In rethinking the value of play, this paper emphasizes how people’s time spent interacting, whether with video games or robots, provides opportunities for them to learn more about themselves and others.…”
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Classroom Expression Recognition Based on Deep Learning by Yang Gao, Linyan Zhou, Jialiang He

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Kurdish Language Learning Tool in Serious Game by Gulala Ali Hama Amin, Karzan Hussein Sharif

“…The application designed for android devices, enables users to learn and improve the Kurdish language. The application is also suitable for foreign people who desire to learn the Kurdish language. …”
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Unlocking Learning: Investigating the Replayability of Educational Games by Rose Oluwaseun Adetunji, Abejide Ade-Ibijola

“…The study’s findings indicate that educational games that can be played multiple times have a substantial positive impact on learning outcomes and engagement. The study suggests that educators and game developers should prioritise the creation of games that include features supporting repeated play and diverse learning experiences.…”
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Statistical Learning for Semantic Parsing: A Survey by Qile Zhu, Xiyao Ma, Xiaolin Li

Subjects: “…deep learning…”
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Optimization of the learning rate in the algorithm for data visualization by Viktor Medvedev, Gintautas Dzemyda

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Using Cooperative Learning in Formal and Nonformal Education by Katy J. Groseta, Brian E. Myers

“…AEC 381/WC062: Using Cooperative Learning in Formal and Nonformal Education (ufl.edu) …”
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The impact of personality and approaches to learning on information behaviour

“…Previous studies have shown how personality influences learning strategies and learning outcome. In this study this will be taken further by combining personality and approaches to learning with information behaviour. …”
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Сoronavirus Zigzags of Electronic Distance Learning by A. V. Solovov, A. A. Menshikova

Subjects: “…electronic distance learning…”
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Machine Learning Models for Spring Discharge Forecasting by Francesco Granata, Michele Saroli, Giovanni de Marinis, Rudy Gargano

“…Three different machine learning algorithms were used for spring discharge forecasting in this comparative study: M5P regression tree, random forest, and support vector regression. …”
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Enhancing of teaching and learning through constructive alignment by G. E. Dames

“… This article elucidates issues about practical knowledge/deep learning on the current teaching and learning preaching practices in the Department of Practical Theology at the Faculty of Theology of the University of the Free State. …”
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De-Classrooming: Moving Learning Outside the Classroom by Andrew P. Carlin

“…Ultimately, the de-classrooming intervention operated to establish an empowered sense of ownership where knowledge and knowledge-generation were concerned, and afforded students unorthodox opportunities for learning enhancement. …”
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Using Cooperative Learning in Formal and Nonformal Education by Katy J. Groseta, Brian E. Myers

“…AEC 381/WC062: Using Cooperative Learning in Formal and Nonformal Education (ufl.edu) …”
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Old and Young in Thucydides: Experience, Learning, and Themistocles by Antonis Tsakmakis

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Distance Learning as an Educational Trend in Higher Education by N. A. Seliverstova, M. G. Solnyshkina

“…The case study research strategy describes variations in the educational and professional trajectories of part-time students in comparison with their attitude to distance learning, the goal of higher education, and their professional future of the individual. …”
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