Výsledky vyhledávání - Active Learning in Machine Learning Research

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    Secure Image Inference Using Pairwise Activation Functions Autor Jonas T. Agyepong, Mostafa I. Soliman, Yasutaka Wada, Keiji Kimura, Ahmed El-Mahdy

    ISSN: 2169-3536
    Vydáno: Institute of Electrical and Electronics Engineers (IEEE) 01.01.2021
    Vydáno v IEEE Access (01.01.2021)
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    Journal Article
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    Machine learning for active matter Autor Cichos, Frank, Gustavsson, Kristian, Mehlig, Bernhard, Volpe, Giovanni

    ISSN: 2522-5839, 2522-5839
    Vydáno: London Nature Publishing Group UK 01.02.2020
    Vydáno v Nature machine intelligence (01.02.2020)
    “…The availability of large datasets has boosted the application of machine learning in many fields and is now starting to shape active-matter research as well…”
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    Research on Cu-Sn machine learning interatomic potential with active learning strategy Autor Liu, Jinyan, Zhang, Guanghao, Wang, Jianyong, Zhang, Hong, Han, Ye

    ISSN: 0927-0256
    Vydáno: Elsevier B.V 01.01.2025
    Vydáno v Computational materials science (01.01.2025)
    “…Fig.1 Active learning Cu-Sn DP model workflow. δ represented the model deviation…”
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    Underwater Acoustic Research Trends with Machine Learning: Active SONAR Applications Autor Yang, Haesang, Byun, Sung-Hoon, Lee, Keunhwa, Choo, Youngmin, Kim, Kookhyun

    ISSN: 1225-0767, 2287-6715
    Vydáno: 한국해양공학회 01.08.2020
    “… Presently, various types of machine learning techniques are being widely used to extract information from acoustic data…”
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    Research on intelligent semi-active control algorithms and seismic reliability based on machine learning Autor Xiao, Zhongyuan, Xu, Jianguo, Wang, Li, Huang, Liang

    ISSN: 2045-2322, 2045-2322
    Vydáno: London Nature Publishing Group UK 27.11.2024
    Vydáno v Scientific reports (27.11.2024)
    “… Building upon this, an intelligent semi-active control algorithm leveraging machine learning is introduced…”
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    Structure Guided Deep Neural Network for Unsupervised Active Learning Autor Li, Changsheng, Ma, Handong, Yuan, Ye, Wang, Guoren, Xu, Dong

    ISSN: 1057-7149, 1941-0042, 1941-0042
    Vydáno: United States IEEE 01.01.2022
    Vydáno v IEEE transactions on image processing (01.01.2022)
    “…Unsupervised active learning has become an active research topic in the machine learning and computer vision communities, whose goal is to choose a subset of representative samples to be labeled…”
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    Active Machine Learning for Chemical Engineers: A Bright Future Lies Ahead Autor Ureel, Yannick, Dobbelaere, Maarten R., Ouyang, Yi, De Ras, Kevin, Sabbe, Maarten K., Marin, Guy B., Van Geem, Kevin M.

    ISSN: 2095-8099
    Vydáno: Elsevier Ltd 01.08.2023
    Vydáno v Engineering (Beijing, China) (01.08.2023)
    “…By combining machine learning with the design of experiments, thereby achieving so-called active machine learning, more efficient and cheaper research can be conducted…”
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    Radiological images and machine learning: Trends, perspectives, and prospects Autor Zhang, Zhenwei, Sejdić, Ervin

    ISSN: 0010-4825, 1879-0534, 1879-0534
    Vydáno: United States Elsevier Ltd 01.05.2019
    Vydáno v Computers in biology and medicine (01.05.2019)
    “…The application of machine learning to radiological images is an increasingly active research area that is expected to grow in the next five to ten years…”
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    Proactive Push Research on Personalized Learning Resources Based on Machine Learning Autor Wang, Lu

    ISSN: 2771-7372
    Vydáno: IEEE 28.10.2022
    “… This article analyzes the role of traditional big data technology and machine learning technology in recommending personalized learning resources in educational assistance systems…”
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    Konferenční příspěvek
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    Editorial of Special Issue “Deep Learning and Machine Learning in Bioinformatics” Autor Kang, Mingon, Oh, Jung Hun

    ISSN: 1422-0067, 1661-6596, 1422-0067
    Vydáno: Basel MDPI AG 14.06.2022
    “…In recent years, deep learning has emerged as a highly active research field, achieving great success in various machine learning areas, including image processing, speech recognition, and natural…”
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    Knowledge graphs as tools for explainable machine learning: A survey Autor Tiddi, Ilaria, Schlobach, Stefan

    ISSN: 0004-3702, 1872-7921
    Vydáno: Amsterdam Elsevier B.V 01.01.2022
    Vydáno v Artificial intelligence (01.01.2022)
    “… As of late, explainable AI has become a very active field of research by addressing the limitations of the latest machine learning solutions that often provide highly accurate, but hardly scrutable…”
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    Research on the optimal selection method of sensors/actuators in active structural acoustic control for helicopter based on machine learning Autor Yuan, Yang, Lu, Yang, Sun, Jiaming, Wang, Changtian

    ISSN: 0263-2241
    Vydáno: Elsevier Ltd 15.03.2025
    “…•An intelligent sensors/actuators selection algorithm based on machine learning is proposed.•A simulation study is conducted using a helicopter cabin model as the object…”
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    Artificial Intelligence and Machine Learning in Sport Research: An Introduction for Non-data Scientists Autor Chmait, Nader, Westerbeek, Hans

    ISSN: 2624-9367, 2624-9367
    Vydáno: Switzerland Frontiers Media S.A 08.12.2021
    Vydáno v Frontiers in sports and active living (08.12.2021)
    “… Likewise, for many, the motivations for adopting a machine learning (ML) paradigm in sports analytics are still either faint or unclear…”
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    Examining active travel behavior through explainable machine learning: Insights from Beijing, China Autor Yin, Ganmin, Huang, Zhou, Fu, Chen, Ren, Shuliang, Bao, Yi, Ma, Xiaolei

    ISSN: 1361-9209, 1879-2340
    Vydáno: Elsevier Ltd 01.02.2024
    “… To fill the gap, our study integrates large-scale big trip data and data-driven machine learning to simultaneously predict active travel flow and probability…”
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    Int&in: A machine learning‐based web server for active split site identification in inteins Autor Schmitz, Mirko, Ballestin, Jara Ballestin, Liang, Junsheng, Tomas, Franziska, Freist, Leon, Voigt, Karsten, Di Ventura, Barbara, Öztürk, Mehmet Ali

    ISSN: 0961-8368, 1469-896X, 1469-896X
    Vydáno: Hoboken, USA John Wiley & Sons, Inc 01.06.2024
    Vydáno v Protein science (01.06.2024)
    “…Inteins are proteins that excise themselves out of host proteins and ligate the flanking polypeptides in an auto‐catalytic process called protein splicing. In…”
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    Asymmetric Domain Nucleation from Dislocation Core in Barium Titanate: Molecular Dynamics Simulation Using MachineLearning Potential through Active Learning Autor Deguchi, Genki, Kobayashi, Ryo, Azuma, Hikaru, Ogata, Shuji, Uranagase, Masayuki, Spreafico, Samuele

    ISSN: 1862-6254, 1862-6270
    Vydáno: Weinheim Wiley Subscription Services, Inc 01.09.2024
    “… In this article, a machine learning (ML) potential is developed to study the influence of dislocations on domain nucleation…”
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    Expediting carbon dots synthesis by the active adaptive method with machine learning and applications in dental diagnosis and treatment Autor Tang, Yaoyao, Xu, Quan, Zhang, Xinyao, Zhu, Rongye, Zhao, Nuo, Wang, Juncheng

    ISSN: 1998-0124, 1998-0000
    Vydáno: Beijing Tsinghua University Press 01.11.2024
    Vydáno v Nano research (01.11.2024)
    “… However, the synthesis method containing multivariable leads to high uncertainty, exhaustive attempts, and exorbitant manpower costs. Machine learning (ML…”
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    Generalized SMO Algorithm for SVM-Based Multitask Learning Autor Feng Cai, Cherkassky, V.

    ISSN: 2162-237X, 2162-2388
    Vydáno: New York, NY IEEE 01.06.2012
    “…Exploiting additional information to improve traditional inductive learning is an active research area in machine learning…”
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    Research on Semi-active Air Suspensions of Heavy Trucks Based on a Combination of Machine Learning and Optimal Fuzzy Control Autor Yuan, Huan, Nguyen, Vanliem, Zhou, Huaxiang

    ISSN: 2380-2162, 2380-2170
    Vydáno: Warrendale SAE International 12.03.2021
    “…A combination of machine learning (ML) and optimal fuzzy control (OFC) is proposed for the semi-active air suspensions of heavy trucks to further improve ride comfort and road friendliness…”
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