Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Information Systems
Reference62 articles.
1. Baliński, J., & Daniłowicz, C. (2005). Re-ranking method based on inter-document distances. Information Processing and Management, 41(4), 759–775.
2. Belew, R. K. (1989). Adaptive information retrieval: Using a connectionist representation to retrieve and learn about documents. In SIGIR ’89: Proceedings of the 12th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 11–20). New York: ACM Press.
3. Belkin, M., Matveeva, I., & Niyogi, P. (2004). Regularization and semi-supervised learning on large graphs. In COLT (pp. 624–638).
4. Belkin, M., & Niyogi, P. (2003). Using manifold structure for partially labeled classification. In S. T. S. Becker & K. Obermayer (Eds.), Advances in neural information processing systems (Vol. 15, pp. 929–936). Cambridge, MA: MIT Press.
5. Belkin, M., & Niyogi, P. (2004). Semi-supervised learning on Riemannian manifolds. Machine Learning, 56(1–3), 209–239.
Cited by
18 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks;Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval;2019-09-23
2. Fusion in Information Retrieval;The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval;2018-06-27
3. Ranking Robustness Under Adversarial Document Manipulations;The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval;2018-06-27
4. Learning a Deep Listwise Context Model for Ranking Refinement;The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval;2018-06-27
5. Utilizing Inter-Passage Similarities for Focused Retrieval;The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval;2018-06-27