Lush is an object-oriented programming language designed for researchers, experimenters, and engineers interested in large-scale numerical and graphic applications.
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Neil Ireson, Fabio Ciravegna, Marie Elaine Califf, Dayne Freitag, Nicholas Kushmerick, Alberto Lavelli: Evaluating Machine Learning for Information Extraction, 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, 7-11 August, 2005
Q. Le, и T. Mikolov. Proceedings of the 31st International Conference on Machine Learning, том 32 из Proceedings of Machine Learning Research, стр. 1188--1196. Bejing, China, PMLR, (июня 2014)
M. Ribeiro, S. Singh, и C. Guestrin. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, (августа 2016)Available at https://arxiv.org/pdf/1602.04938.pdf.
S. Wang, L. Hu, Y. Wang, X. He, Q. Sheng, M. Orgun, L. Cao, F. Ricci, и P. Yu. (2021)cite arxiv:2105.06339Comment: Accepted by IJCAI 2021 Survey Track, copyright is owned to IJCAI. The first systematic survey on graph learning based recommender systems. arXiv admin note: text overlap with arXiv:2004.11718.
M. Paris, и R. Jäschke. Proceedings of the 14th International Conference on Knowledge Science, Engineering and Management, том 12816 из Lecture Notes in Artificial Intelligence, стр. 1--14. Springer, (2021)
M. Dacrema, P. Cremonesi, и D. Jannach. (2019)cite arxiv:1907.06902Comment: Source code available at: https://github.com/MaurizioFD/RecSys2019_DeepLearning_Evaluation.
P. Xia, S. Wu, и B. Van Durme. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), стр. 7516--7533. Association for Computational Linguistics, (ноября 2020)