Probabilistic Bounds for Binary Classification of Large Data Sets

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SYSNO	0503127
Title	Probabilistic Bounds for Binary Classification of Large Data Sets
Author(s)	Kůrková, Věra (UIVT-O)_{RID, SAI, ORCID} Sanguineti, M. (IT)
Corespondence/senior	Sanguineti, M. - Korespondující autor
Source Title	Recent Advances in Big Data and Deep Learning. S. 309-319. - Cham : Springer, 2020 / Oneto L. ; Navarin N. ; Sperduti A. ; Anguita D.
Conference	INNSBDDL 2019: INNS Big Data and Deep Learning /4./, 16.04.2019 - 18.04.2019, Sestri Levante
Document Type	Konferenční příspěvek (zahraniční konf.)
Grant	GA18-23827S GA ČR - Czech Science Foundation (CSF), CZ - Czech Republic
Institutional support	UIVT-O - RVO:67985807
Language	eng
Country	CH
Keywords	Binary classification * Approximation by feedforward networks * Concentration of measure * Azuma-Hoeffding inequality
Permanent Link	http://hdl.handle.net/11104/0294978

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Number of the records: 1