Match: a maximum-likelihood approach for classification under label shift (2025)
Donyavi, Zahra 
; Li, Feiyu ; Zhang, Yunrui ; Silva, Diego Furtado ; Batista, Gustavo Enrique de Almeida Prado Alves
Source: Proceedings. Conference titles: ACM SIGKDD Conference on Knowledge Discovery and Data Mining - KDD. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PROGRAMAÇÃO LINEAR
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DONYAVI, Zahra et al. Match: a maximum-likelihood approach for classification under label shift. 2025, Anais.. New York: ACM, 2025. Disponível em: https://doi.org/10.1145/3711896.3737040. Acesso em: 26 jan. 2026.APA
Donyavi, Z., Li, F., Zhang, Y., Silva, D. F., & Batista, G. E. de A. P. A. (2025). Match: a maximum-likelihood approach for classification under label shift. In Proceedings. New York: ACM. doi:10.1145/3711896.3737040NLM
Donyavi Z, Li F, Zhang Y, Silva DF, Batista GE de APA. Match: a maximum-likelihood approach for classification under label shift [Internet]. Proceedings. 2025 ;[citado 2026 jan. 26 ] Available from: https://doi.org/10.1145/3711896.3737040Vancouver
Donyavi Z, Li F, Zhang Y, Silva DF, Batista GE de APA. Match: a maximum-likelihood approach for classification under label shift [Internet]. Proceedings. 2025 ;[citado 2026 jan. 26 ] Available from: https://doi.org/10.1145/3711896.3737040
