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    Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties

    Pan, Hong / Gui, Guoqing / Lin, Zhibin et al. | Springer Verlag | 2018
    Schlagwörter: deep learning , probabilistic learning , deep Bayesian belief network learning

      Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties

      Pan, Hong / Gui, Guoqing / Lin, Zhibin et al. | Online Contents | 2018
      Schlagwörter: deep learning , probabilistic learning , deep Bayesian belief network learning

    Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey

    Freier Zugriff
    Wörmann, Julian / Bogdoll, Daniel / Bührle, Etienne et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Informed Machine Learning , Machine Learning , Knowledge Augmented Machine Learning , Knowledge-driven Machine Learning

    A reinforcement learning model for personalized driving policies identification

    Freier Zugriff
    Dimitris M. Vlachogiannis / Eleni I. Vlahogianni / John Golias | DOAJ | 2020
    Schlagwörter: Reinforcement learning , Q-learning , Machine learning

    Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey

    Freier Zugriff
    Wörmann, Julian / Bogdoll, Daniel / Bührle, Etienne et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Informed Machine Learning , Machine Learning

    Maximum Likelihood Uncertainty Estimation: Robustness to Outliers

    Freier Zugriff
    Nair, Deebul / Hochgeschwender, Nico / Olivares-Mendez, Miguel | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Machine Learning , Deep Learning

    Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry

    Freier Zugriff
    Shinde, Kashmira / Lee, Jongseok / Humt, Matthias et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: Multimodal learning , Machine Learning , Deep Learning

    Reinforcement Learning to Train Ms. Pac-Man Using Higher-order Action-relative Inputs

    Freier Zugriff
    Bom, Luuk / Henken, Ruud / Wiering, Marco | BASE | 2013
    Schlagwörter: Reinforcement learning , Machine learning

    Pedestrian simulation as multi-objective reinforcement learning

    Freier Zugriff
    Ravichandran, Naresh Balaji / Yang, Fangkai / Peters, Christopher et al. | BASE | 2018
    Schlagwörter: Multi-objective learning , Parallel learning , Reinforcement learning

    Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information

    Freier Zugriff
    Runge, Jakob | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2018
    Schlagwörter: machine learning

    A Transfer Learning Approach to Cross-modal Object Recognition: from Visual Observation to Robotic Haptic Exploration

    Freier Zugriff
    Falco, Pietro / Lu, Shuang / Pirozzi, Salvatore et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2019
    Schlagwörter: Robot Learning

    Towards lifelong assistive robotics: a tight coupling between object perception and manipulation

    Freier Zugriff
    Hamidreza Kasaei, S. / Oliveira, Miguel / Lim, Gi Hyun et al. | BASE | 2018
    Schlagwörter: Open-ended learning , Interactive learning

    Visualisierung der internen Prozesse Künstlicher Neuronaler Netze in Virtual Reality

    Freier Zugriff
    Meißler, Nadine | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2019
    Schlagwörter: Machine Learning , Deep Learning

    Coordination and communication in deep multi-agent reinforcement learning

    Freier Zugriff
    Schroeder de Witt, CA | BASE | 2022
    Schlagwörter: Deep Multi-Agent Reinforcement Learning , Reinforcement learning

    A Deep Reinforcement Learning Framework where Agents Learn a Basic form of Social Movement

    Freier Zugriff
    Ekstedt, Erik | BASE | 2018
    Schlagwörter: machine learning , deep learning , reinforcement learning

    Vehicle Detection Method Based on ADE-YOLOV3 Algorithm

    Freier Zugriff
    Yunxiang Liu, Guoqing Zhang, Yuanyuan Zhang: SIT, Shanghai | BASE | 2020
    Schlagwörter: Deep Learning , Migration Learning

    Artificial Intelligence: Need, Evolution, and Applications for Transportation Systems

    Dai, Yueyue / Ma, Huihui | Springer Verlag | 2021
    Schlagwörter: Machine learning , Reinforcement learning , Supervised learning , Semi-supervised learning , Meta-learning , Unsupervised learning , Federated learning , Transfer learning

    Learning Assembly Tasks in a Few Minutes by Combining Impedance Control and Residual Recurrent Reinforcement Learning

    Freier Zugriff
    Kulkarni, Padmaja / Kober, Jens / Babuška, Robert et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2021
    Schlagwörter: reinforcement learning

    Deep Episodic Memory : Encoding, Recalling, and Predicting Episodic Experiences for Robot Action Execution

    Freier Zugriff
    Rothfuss, Jonas / Ferreira, Fabio / Aksoy, Eren et al. | BASE | 2018
    Schlagwörter: Learning and adaptive systems , visual learning , deep learning in robotics and automation

    Deep recurrent neural networks for abstractive text summarization

    Freier Zugriff
    Klönne, Marie | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2018
    Schlagwörter: deep learning , machine learning

    Knowledge Management

    Rogers, Edward W. | Wiley | 2011
    Schlagwörter: case‐based learning , learning practices , sustainable learning , organizational learning , learning organization

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