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)

crawling

Huang, Hai ORCID: https://orcid.org/0000-0003-1412-0567 and Gandon, Fabien (2021) Learning URI selection criteria to improve the crawling of linked open data (extended abstract). In: JCAI'20: Twenty-Ninth International Joint Conference on Artificial Intelligence Yokohama Yokohama, Japan January 7 - 15, 2021. International Joint Conferences on Artificial Intelligence, Yokohama, Japan, pp. 4730-4734. ISBN 978-0999241165 (doi:10.24963/ijcai.2020/655)

FTRL

Huang, Hai ORCID: https://orcid.org/0000-0003-1412-0567 and Gandon, Fabien (2021) Learning URI selection criteria to improve the crawling of linked open data (extended abstract). In: JCAI'20: Twenty-Ninth International Joint Conference on Artificial Intelligence Yokohama Yokohama, Japan January 7 - 15, 2021. International Joint Conferences on Artificial Intelligence, Yokohama, Japan, pp. 4730-4734. ISBN 978-0999241165 (doi:10.24963/ijcai.2020/655)

linked RDF data

Huang, Hai ORCID: https://orcid.org/0000-0003-1412-0567 and Gandon, Fabien (2021) Learning URI selection criteria to improve the crawling of linked open data (extended abstract). In: JCAI'20: Twenty-Ninth International Joint Conference on Artificial Intelligence Yokohama Yokohama, Japan January 7 - 15, 2021. International Joint Conferences on Artificial Intelligence, Yokohama, Japan, pp. 4730-4734. ISBN 978-0999241165 (doi:10.24963/ijcai.2020/655)

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)