Semi-supervised Learning Guided by the Generalized Bayes Rule Under Soft Revision

Author:

Dietrich Stefan,Rodemann Julian,Jansen Christoph

Publisher

Springer Nature Switzerland

Reference22 articles.

1. Aminian, G., Abroshan, M., Khalili, M., Toni, L., Rodrigues, M.: An information-theoretical approach to semi-supervised learning under covariate-shift. In: International Conference on Artificial Intelligence and Statistics, PMLR, pp. 7433–7449. (2022)

2. Augustin, T., Schollmeyer, G.: Comment: on focusing, soft and strong revision of choquet capacities and their role in statistics. Stat. Sci. 36(2), 205–209 (2021)

3. Augustin, T., Coolen, F., De Cooman, G., Troffaes, M.: Introduction to Imprecise Probabilities. Wiley (2014)

4. Bleistein, N., Handelsman, R.A.: Asymptotic Expansions of Integrals. Ardent Media (1975)

5. Broyden, C.: The convergence of a class of double-rank minimization algorithms 1. General Considerations. IMA J. Appl. Math. 6(1), 76–90 (1970)

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