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المؤلفون: Mirus, F., Blouw, P., Stewart, T. C., Conradt, Jörg
المصدر: Frontiers in Neurorobotics. 13
مصطلحات موضوعية: Artificial neural networks, Long short-term memories, Online learning, Spiking neural networks, Vector symbolic architectures, Vehicle prediction, Brain, E-learning, Encoding (symbols), Feedforward neural networks, Forecasting, Network architecture, Network coding, Neural networks, Petroleum reservoir evaluation, Vectors, Vehicles, Automotive environment, Linear prediction models, Neural network learning, Sequence prediction, Spatial informations, Vector representations, Long short-term memory, acceleration, adult, article, feed forward neural network, human, long short term memory network, motivation, network learning, prediction, spiking neural network
وصف الملف: print
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2Detection of abnormal driving situations using distributed representations and unsupervised learning
المؤلفون: Mirus, F., Stewart, T. C., Conradt, Jörg
المصدر: ESANN 2020 - Proceedings, 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. :363-368
مصطلحات موضوعية: Anomaly detection, Intelligent computing, Learning systems, Unsupervised learning, Anomaly detection systems, Auto encoders, Distributed representation, Driving situations, Real-world, Vector representations, Neural networks
وصف الملف: print
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المؤلفون: Mirus, F., Stewart, T. C., Eliasmith, C., Conradt, Jörg
المصدر: 28th International Conference on Artificial Neural Networks, ICANN 2019, Proceedings, Part III Lecture Notes in Computer Science. :456-471
مصطلحات موضوعية: Long short-term memory, Online learning, Spiking neural networks, Vehicle prediction, E-learning, Forecasting, Image processing, Mixtures, Neural networks, Vehicles, Driving situations, Mixture of experts, Mixture-of-experts model, Real-world drivings, Situational context, Traffic situations, Learning systems
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المؤلفون: Mirus, F., Zorn, B., Conradt, Jörg
المصدر: ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. :649-654
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المؤلفون: Mirus, F., Blouw, P., Stewart, T. C., Conradt, Jörg
المصدر: ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. :113-118
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المؤلفون: van der Heiden, T., Mirus, F., van Hoof, H., Farkaš, I., Masulli, P., Wermter, S.
المساهمون: Amsterdam Machine Learning lab (IVI, FNWI)
المصدر: Artificial Neural Networks and Machine Learning – ICANN 2020 ISBN: 9783030616151
ICANN (2)
Artificial Neural Networks and Machine Learning – ICANN 2020: 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020 : proceedings, II, 395-407مصطلحات موضوعية: 0209 industrial biotechnology, Computer science, media_common.quotation_subject, Social navigation, Mobile robot, 02 engineering and technology, Workspace, 010501 environmental sciences, 01 natural sciences, Human–robot interaction, Mobile robot navigation, Motion (physics), 020901 industrial engineering & automation, Human–computer interaction, Reinforcement learning, Robot, Empowerment, 0105 earth and related environmental sciences, media_common
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6c0c6d2f8f5c66232eee2485d38a147
https://doi.org/10.1007/978-3-030-61616-8_32 -
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المؤلفون: Mirus, F., Stewart, T. C., Conradt, Jörg
المصدر: Proceedings of the International Joint Conference on Neural Networks.
مصطلحات موضوعية: data set composition, distributed representations, LSTMs, neural networks, Vehicle trajectory prediction, Forecasting, Predictive analytics, Semantics, Trajectories, Vehicles, Automated vehicles, Data-driven model, Distributed representation, Neural network model, Optimal composition, Real-world drivings, Trajectory prediction, Vehicle trajectory predictions
وصف الملف: print
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8دورية أكاديمية
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9دورية أكاديمية
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