American Psychological Association 6th edition

Shi, M., He, Z., Chen, Z., & Liu, X. (2018). A full variate Gaussian model-based RM-MEDA without clustering process. International Journal of Machine Learning and Cybernetics, 9(10), 1591-1608. https://doi.org/10.1007/s13042-017-0667-7

ISO-690 (author-date, English)

SHI, Meifeng, HE, Zhongshi, CHEN, Ziyu und LIU, Xin, 2018. A full variate Gaussian model-based RM-MEDA without clustering process. International Journal of Machine Learning and Cybernetics. 1 Oktober 2018. Vol. 9, no. 10, p. 1591-1608. DOI 10.1007/s13042-017-0667-7.

Modern Language Association 9th edition

Shi, M., Z. He, Z. Chen, und X. Liu. „A Full Variate Gaussian Model-Based RM-MEDA Without Clustering Process“. International Journal of Machine Learning and Cybernetics, Bd. 9, Nr. 10, Oktober 2018, S. 1591-08, https://doi.org/10.1007/s13042-017-0667-7.

Mohr Siebeck - Recht (Deutsch - Österreich)

Shi, Meifeng/He, Zhongshi/Chen, Ziyu/Liu, Xin: A full variate Gaussian model-based RM-MEDA without clustering process, International Journal of Machine Learning and Cybernetics 2018, 1591-1608.

Emerald - Harvard

Shi, M., He, Z., Chen, Z. und Liu, X. (2018), „A full variate Gaussian model-based RM-MEDA without clustering process“, International Journal of Machine Learning and Cybernetics, Vol. 9 No. 10, S. 1591-1608.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.