Gao, K., Wang, H., Cao, Y., & Inoue, K. (2022). Learning from interpretation transition using differentiable logic programming semantics. Machine Learning, 111(1), 123-145. https://doi.org/10.1007/s10994-021-06058-8
ISO-690 (author-date, English)GAO, Kun, WANG, Hanpin, CAO, Yongzhi und INOUE, Katsumi, 2022. Learning from interpretation transition using differentiable logic programming semantics. Machine Learning. 1 Januar 2022. Vol. 111, no. 1, p. 123-145. DOI 10.1007/s10994-021-06058-8.
Modern Language Association 9th editionGao, K., H. Wang, Y. Cao, und K. Inoue. „Learning from Interpretation Transition Using Differentiable Logic Programming Semantics“. Machine Learning, Bd. 111, Nr. 1, Januar 2022, S. 123-45, https://doi.org/10.1007/s10994-021-06058-8.
Mohr Siebeck - Recht (Deutsch - Österreich)Gao, Kun/Wang, Hanpin/Cao, Yongzhi/Inoue, Katsumi: Learning from interpretation transition using differentiable logic programming semantics, Machine Learning 2022, 123-145.
Emerald - HarvardGao, K., Wang, H., Cao, Y. und Inoue, K. (2022), „Learning from interpretation transition using differentiable logic programming semantics“, Machine Learning, Vol. 111 No. 1, S. 123-145.