A Label Embedding Algorithm Based on Maximizing Normalized Cross-Covariance Operator

Author:

Xue Yulin,Pan Yuchen,Peng Tao,Li Jun,Xu Jianhua

Publisher

Springer Nature Switzerland

Reference16 articles.

1. Charte, F., Rivera, A.J., Del Jesus, M.J.: Multilabel Classification: Problem Analysis, Metrics and Techniques. Springer, Switzerland (2016). https://doi.org/10.1007/978-3-319-41111-8

2. Chen, Y.N., Lin, H.T.: Feature-aware label space dimension reduction for multi-label classification. In: 25th Annual Conference on Neural Information Processing Systems, pp. 1529–1537. MIT Press, Cambridge (2012)

3. Djonguet, T.K.M., Nkiet, G.M.: An independence test for functional variables based on kernel normalized cross-covariance operator. J. Multivariate Anal. 202, 105293 (2024)

4. Fukumizu, K., Gretton, A., Sun, X., Scholkopf, B.: Kernel measures of conditional dependence. In: 20th Annual Conference on Neural Information Processing Systems, pp. 489–496. MIT Press, Cambridge (2007)

5. Gretton, A., Bousquet, O., Smola, A., Scholkopf, B.: Measuring statistical dependence with hilbert-schmidt norms. In: Jain, S., Simon, H.U., Tomita, E. (eds.) ALT 2005, pp. 63–77. Springer, Heidelberg (2005). https://doi.org/10.1007/11564089_7

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