Publisher
Springer Science and Business Media LLC
Subject
Statistics and Probability
Reference42 articles.
1. Aggarwal, C. C., & Yu, P. S. (2001). Outlier detection for high dimensional data. ACM Sigmod Record, 30(2), 37–46.
2. Akay, M. F. (2009). Support vector machines combined with feature selection for breast cancer diagnosis. Expert Systems with Applications, 36(2), 3240–3247.
3. Bartlett, P. L., & Mendelson, S. (2002). Rademacher and gaussian complexities: Risk bounds and structural results. Journal of Machine Learning Research, 3, 463–482.
4. Bartlett, P. L., Bousquet, O., & Mendelson, S. (2005). Local rademacher complexities. The Annals of Statistics, 33(4), 1497–1537.
5. Birnbaum, A., Johnstone, I. M., Boaz, N., & Debashis, P. (2013). Minimax bounds for sparse PCA with noisy high-dimensional data. The Annals of Statistics, 41(3), 1055–1084.
Cited by
6 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