Publisher
Springer International Publishing
Reference28 articles.
1. Amati, G., Rijsbergen, C.J.V.: Probabilistic models of information retrieval based on measuring the divergence from randomness. ACM Trans. Inf. Syst. 20, 357–389 (2002)
2. Amsaleg, L., Oussama, C., Furon, T., Girard, S., Houle, M.E., Kawarabayashi, K.I.: Estimating local intrinsic dimensionality. In: 21st Conference on Knowledge Discovery and Data Mining, KDD 2015, Sidney, Australia, August 2015. https://hal.inria.fr/hal-01159217
3. Bellogín, A., de Vries, A.P.: Understanding similarity metrics in neighbour-based recommender systems. In: Proceedings of the 2013 Conference on the Theory of Information Retrieval, ICTIR 2013, pp. 13:48–13:55. ACM, New York (2013). http://doi.acm.org/10.1145/2499178.2499186
4. Beygelzimer, A., Kakade, S., Langford, J.: Cover trees for nearest neighbors. In: Proceedings of International Conference on Machine Learning (ICML), pp. 97–104 (2006)
5. Clauset, A., Shalizi, C.R., Newman, M.E.J.: Power-law distributions in empirical data. SIAM Rev. 51(4), 661–703 (2009)
Cited by
1 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