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pro vyhledávání: '"GlennM. Fung"'
Autor:
Olvi L. Mangasarian, GlennM. Fung
Publikováno v:
Optimization Methods and Software. 28:207-216
We propose a novel privacy-preserving random kernel approximation based on a data matrix A ∈ R m × n whose rows are divided into privately owned blocks. Each block of rows belongs to a different entity that is unwilling to share its rows or make t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::731b27a0a56862c447efe5f887c09e5b
https://doi.org/10.1080/10556788.2012.710615
https://doi.org/10.1080/10556788.2012.710615
