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    Towards Ontology-Guided Learning for Shepherding

    Campbell, Benjamin | Springer Verlag | 2021
    Schlagwörter: Guided learning , Hybrid learning

    Histopathological Colorectal Cancer Image Classification by Using Inception V4 CNN Model

    Patnaik, Rakesh / Rath, Premanshu Sekhara / Padhy, Sasmita et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning , Machine learning

    Predicting Hydrological Drought Alert Levels Using Supervised Machine-Learning Classifiers

    Jehanzaib, Muhammad / Shah, Sabab Ali / Son, Ho Jun et al. | Springer Verlag | 2022
    Schlagwörter: Machine-learning classifier , Supervised learning

    Modeling Human Motor Skills to Enhance Robots’ Physical Interaction

    Averta, Giuseppe / Arapi, Visar / Bicchi, Antonio et al. | Springer Verlag | 2021
    Schlagwörter: Machine learning , Learning from humans

    Neural Networks and Advanced Algorithms for Intelligent Monitoring in Industry

    Schmid, Philipp A. E. / Steinecker, Alexander / Sun, Jianwen et al. | Springer Verlag | 2019
    Schlagwörter: Deep learning , Machine learning

    Deep Learning-Based Multi-scale Multi-object Detection and Classification for Autonomous Driving

    Fink, Maximilian / Liu, Ying / Engstle, Armin et al. | Springer Verlag | 2019
    Schlagwörter: Deep learning , Feature learning and extraction

    On the Critic IntelligenceCritic intelligence for Discrete-Time Advanced Optimal ControlAdvanced optimal control Design

    Wang, Ding / Ha, Mingming / Zhao, Mingming | Springer Verlag | 2023
    Schlagwörter: Reinforcement learning , Machine Learning

    Ensemble-based Deep Learning Approach for Performance Improvement of BIM Element Classification

    Yu, Young Su / Kim, Si Hyun / Lee, Won Bok et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning , Ensemble learning

    ML of Choosing: Architecting Intelligent Choice Framework

    Kulkarni, Parag | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Using Meta-Learning to Reduce the Effort of Training New Workpiece Geometries for Entanglement Detection in Bin-Picking Applications

    Freier Zugriff
    Moosmann, Marius / Bleifuß, Julian / Rosport, Johannes et al. | Springer Verlag | 2023
    Schlagwörter: Machine Learning , Meta Learning

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