Effective sample size, dimensionality, and generalization in covariate shift adaptation (2023)
Source: Neural Computing and Applications. Conference titles: LatinX in AI at NeurIPS. Unidade: IME
Assunto: MATEMÁTICA APLICADA
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POLO, Felipe Maia e VICENTE, Renato. Effective sample size, dimensionality, and generalization in covariate shift adaptation. Neural Computing and Applications. Godalming: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s00521-021-06615-1. Acesso em: 05 jun. 2024. , 2023APA
Polo, F. M., & Vicente, R. (2023). Effective sample size, dimensionality, and generalization in covariate shift adaptation. Neural Computing and Applications. Godalming: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1007/s00521-021-06615-1NLM
Polo FM, Vicente R. Effective sample size, dimensionality, and generalization in covariate shift adaptation [Internet]. Neural Computing and Applications. 2023 ; 35( 25): 18187-18199.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1007/s00521-021-06615-1Vancouver
Polo FM, Vicente R. Effective sample size, dimensionality, and generalization in covariate shift adaptation [Internet]. Neural Computing and Applications. 2023 ; 35( 25): 18187-18199.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1007/s00521-021-06615-1