Learning-based page replacement scheme for efficient I/O processing by Hwajung Kim

Subjects: “…Reinforcement Learning…”
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CREATING AN ENGLISH-SPEAKING DIGITAL LEARNING ENVIRONMENT FOR PRESCHOOLERS: LINGUODIDACTIC ASPECT by Oksana Khomyshak

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Clinical validation and optimization of machine learning models for early prediction of sepsis by Xi Liu, Meiyi Li, Xu Liu, Yuting Luo, Dong Yang, Hui Ouyang, Jiaoling He, Jinyu Xia, Fei Xiao, Fei Xiao, Fei Xiao

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The Problems of Oral Production of Speech Sounds in the Teaching and Learning of English Grammar by IDEGU A. SOLOMON

“…The implications of correct pronunciation in the teaching and learning of English grammar is therefore, very important for fruitful grammatical studies. …”
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Developing Sports Physiotherapy Expertise – The Value of Informal Learning by Colin Paterson, Nicola Phillips

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The power of authority and the Montessori teachers’ (in)ability to learn – research intervention report by Jarosław Jendza

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Learning, Portfolio Complexity and Informational Asymmetry in Forecasts of Sell-Side Analysts by Melquiades Pereira de Lima Júnior

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Learning to Be a Father: How is it done? Isn't there a manual somewhere? by Kate Fogarty, Garret D. Evans

“…Evans, discusses ways men can learn how to be good fathers. Includes recommended resources in English and Spanish, and references. …”
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Unlocking biological complexity: the role of machine learning in integrative multi-omics by Ravindra Kumar, Rajrani Ruhel, Andre J. van Wijnen

“…By integrating machine learning in multi-omics, we can enhance our understanding of drug discovery, disease, pathway, and network analysis. …”
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Evaluation of machine learning models for the prediction of Alzheimer's: In search of the best performance by Michael Cabanillas-Carbonell, Joselyn Zapata-Paulini

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Investigating the effects of hyperparameter sensitivity on machine learning algorithms for PV forecasting by Ehtsham Muhammad, Rotilio Marianna, Cucchiella Federica, Di Giovanni Gianni, Schettini Domenico

“…Machine Learning (ML) models have been introduced in the past, and users have debated whether to tune the hyperparameters of the models. …”
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A Novel Hybrid Machine Learning Framework for Wind Speed Prediction by Rhafes Mohamed Yassine, Moussaoui Omar, Raboaca Maria Simona, Mihaltan Traian Candin

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Credit risk prediction with corruption perception index: machine learning approaches by Cuong Nguyen Thanh, Tam Phan Huy, Tuyet Pham Hong, An Bui Nguyen Quoc

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A deep ensemble learning framework for glioma segmentation and grading prediction by Liang Wen, Hui Sun, Guobiao Liang, Yue Yu

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Source Apportionment of Particulate Matter by Application of Machine Learning Clustering Algorithms by Vikas Kumar, Manoranjan Sahu, Pratim Biswas

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A joint learning method for low-light facial expression recognition by Yuanlun Xie, Jie Ou, Bihan Wen, Zitong Yu, Wenhong Tian

Subjects: “…Cross high- and low-level learning…”
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The transition of online into limited English learning-teaching in the rural area context by Amira Wahyu Anditasari, Siti Kholija Sitompul

“… The Covid-19 pandemic has started to decrease, thus many schools in Indonesia have switched their learning activity from online to limited offline learning teaching. …”
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Federated Learning-Based Load Forecasting for Energy Aggregation Service Providers by HUANG Yichuan, SONG Yuhui, JING Zhaoxia

Subjects: “…energy aggregation service provider|load forecasting|federated learning|data privacy|neural network…”
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Challenges with reinforcement learning model transportability for sepsis treatment in emergency care by Peter C. Nauka, Jason N. Kennedy, Emily B. Brant, Matthieu Komorowski, Romain Pirracchio, Derek C. Angus, Christopher W. Seymour

“…Abstract Pivotal moments in sepsis care occur in the emergency department (ED), however, and it is unclear whether ED data is adequate to inform reinforcement learning (RL) models. We evaluated the early opportunity for the AI Clinician, a validated ICU-based RL-model, as a use case. …”
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Political learning in territories of exclusion, conflict and popular organization (research notes) by Paulo J. Krischke

Subjects: “…political learning…”
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