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    A Study on Web2.0 Blending Learning

    Cheng, Rui | Springer Verlag | 2012
    Schlagwörter: blending learning , learning model

    Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach

    Greggio, Nicola / Bernardino, Alexandre / Santos-Victor, José | Springer Verlag | 2011
    Schlagwörter: Unsupervised learning , Machine learning

    Multi Agent Reinforcement Learning for Gridworld Soccer Leadingpass

    Sari, Safreni Candra / Prihatmanto, Ary Setijadi / Kuspriyanto | Springer Verlag | 2013
    Schlagwörter: Multiagent learning system , reinforcement learning

    Mobile WEKA as Data Mining Tool on Android

    Liu, Pengfei / Chen, Yanhua / Tang, Wulei et al. | Springer Verlag | 2012
    Schlagwörter: Machine learning

    The Impact of Entrepreneurial Learning on Entrepreneurial Performance: The Mediating Role of Entrepreneurial Competencies

    Zhang, Xiaoxia | Springer Verlag | 2012
    Schlagwörter: entrepreneurial learning

    Revisited: Machine Intelligence in Heterogeneous Multi-Agent Systems

    Borah, Kaustav Jyoti / Talukdar, Rajashree | Springer Verlag | 2020
    Schlagwörter: Machine learning , Q learning

    A Reinforcement Learning Enhanced Fuzzy Control for Real-Time Off-Road Traction System

    Vantsevich, Vladimir / Gorsich, David / Lozynskyy, Andriy et al. | Springer Verlag | 2020
    Schlagwörter: Reinforcement learning

    Lateral Control Design for Autonomous Vehicles Using a Big Data-Based Approach

    Fényes, Dániel / Németh, Balázs / Gáspár, Péter | Springer Verlag | 2020
    Schlagwörter: Machine learning

    Condition Monitoring of Rail Vehicle Suspension Elements: A Machine Learning Approach

    Karlsson, Henrik / Qazizadeh, Alireza / Stichel, Sebastian et al. | Springer Verlag | 2020
    Schlagwörter: Machine learning

    Railway Bogie Diagnostics Using Machine Learning and Bayesian Net Reasoning Approaches

    Girstmair, Bernhard / Moshammer, Thomas | Springer Verlag | 2022
    Schlagwörter: Machine learning

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