Items where Author is "Feng, Lei"
automotive embedded systems
Anthony, Richard, Chen, DeJiu, Törngren, Martin, Scholle, Detlef, Sanfridson, Martin, Rettberg, Achim, Naseer, Tahir, Persson, Magnus and Feng, Lei (2009) Autonomic middleware for automotive embedded systems. In: Vasilakos, Athanasios V., Parashar, Manish, Karnouskos, Stamatis and Pedrycz, Witold, (eds.) Autonomic Communication. Springer US, Dordrecht, Netherlands / Heidelberg, Germany / London, UK / New York, USA, pp. 169-210. ISBN 9780387097527 (doi:10.1007/978-0-387-09753-4_7)
classification
Huang, Jun, Xu, Linchuan, Wang, Jing, Feng, Lei and Yamanishi, Kenji (2020) Discovering latent class labels for multi-label learning. In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization (IJCAI), pp. 3058-3064. ISBN 978-0999241165 (doi:10.24963/ijcai.2020/423)
classification machine learning
Huang, Jun, Xu, Linchuan, Wang, Jing, Feng, Lei and Yamanishi, Kenji (2020) Discovering latent class labels for multi-label learning. In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization (IJCAI), pp. 3058-3064. ISBN 978-0999241165 (doi:10.24963/ijcai.2020/423)
DySCAS
Anthony, Richard, Chen, DeJiu, Törngren, Martin, Scholle, Detlef, Sanfridson, Martin, Rettberg, Achim, Naseer, Tahir, Persson, Magnus and Feng, Lei (2009) Autonomic middleware for automotive embedded systems. In: Vasilakos, Athanasios V., Parashar, Manish, Karnouskos, Stamatis and Pedrycz, Witold, (eds.) Autonomic Communication. Springer US, Dordrecht, Netherlands / Heidelberg, Germany / London, UK / New York, USA, pp. 169-210. ISBN 9780387097527 (doi:10.1007/978-0-387-09753-4_7)
machine learning
Huang, Jun, Xu, Linchuan, Wang, Jing, Feng, Lei and Yamanishi, Kenji (2020) Discovering latent class labels for multi-label learning. In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization (IJCAI), pp. 3058-3064. ISBN 978-0999241165 (doi:10.24963/ijcai.2020/423)
multi-instance
Huang, Jun, Xu, Linchuan, Wang, Jing, Feng, Lei and Yamanishi, Kenji (2020) Discovering latent class labels for multi-label learning. In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization (IJCAI), pp. 3058-3064. ISBN 978-0999241165 (doi:10.24963/ijcai.2020/423)
multi-label
Huang, Jun, Xu, Linchuan, Wang, Jing, Feng, Lei and Yamanishi, Kenji (2020) Discovering latent class labels for multi-label learning. In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization (IJCAI), pp. 3058-3064. ISBN 978-0999241165 (doi:10.24963/ijcai.2020/423)
multi-view learning data mining
Huang, Jun, Xu, Linchuan, Wang, Jing, Feng, Lei and Yamanishi, Kenji (2020) Discovering latent class labels for multi-label learning. In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization (IJCAI), pp. 3058-3064. ISBN 978-0999241165 (doi:10.24963/ijcai.2020/423)
semi-supervised learning
Huang, Jun, Xu, Linchuan, Wang, Jing, Feng, Lei and Yamanishi, Kenji (2020) Discovering latent class labels for multi-label learning. In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization (IJCAI), pp. 3058-3064. ISBN 978-0999241165 (doi:10.24963/ijcai.2020/423)